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Articles 4801 - 4830 of 13783

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Simulation Reach On Multi-Generation Digital Product Diffusion Based On Agent, Qiao Jian, Jingwen Xia, Wang Pan Jul 2020

Simulation Reach On Multi-Generation Digital Product Diffusion Based On Agent, Qiao Jian, Jingwen Xia, Wang Pan

Journal of System Simulation

Abstract: Digital products have the characteristics of multi-generation coexistence and diffusion, and the multi-generation product diffusion model is an important tool to study it. The existing models ignores some factors of the product, consumer and environment that significantly affect the diffusion process. A multi-generation digital product diffusion model is proposed by using the ABMS, fuzzy inference, complex network and utility theories. The experiment results show that the model can playback the diffusion process of iPhones, which indicates that the model has a good simulation/prediction capability when the historical data is sufficient, and can be a marketing analysis and decision-making …

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Review On Finite Element Model For Anti-Riot Kinetic Projectile Thorax Blunt Impact, Wang Song, Renjun Zhan Jul 2020

Review On Finite Element Model For Anti-Riot Kinetic Projectile Thorax Blunt Impact, Wang Song, Renjun Zhan

Journal of System Simulation

Abstract: In order to promote the construction and verification of the finite element models of human thorax and non-lethal projectiles in the field of blunt ballistic impact, the detailed anatomical and analogous structures of the thorax finite element models are combed and five typical of them are compared and verified. The construction and verification methods of the typical non-lethal projectile models are refined and the impact injury assessment methods are summarized. The next research recommendations are given. In order to improve the accuracy and biological fidelity of the thorax model, it is necessary to establish the physical and finite …

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Real-Time Leaf Recognition Method Based On Cnn Network And Multi-Task Loss Function, Xingquan Cai, Yuxin Tu, Yakun Ge, Zhe Yang Jul 2020

Real-Time Leaf Recognition Method Based On Cnn Network And Multi-Task Loss Function, Xingquan Cai, Yuxin Tu, Yakun Ge, Zhe Yang

Journal of System Simulation

Abstract: Aiming at the problems that the traditional leaf recognition is susceptible to the environmental interference and is difficult to realize the multi-leaf real-time recognition in complex background, a real-time leaf recognition method based on CNN network and multi-task loss function is proposed. The CNN network is used to the extract image feature maps and input them into RPN network to generate regional proposals. On the basis of the feature maps and region proposals, the feature map is proposaled, the leaf classification and bounding box regression are performed respectively, and the leaf classification and position of the leaf prediction box …

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Hyperspectral Image Anomaly Detection Based On Background Reconstruction, Xiaorui Song, Zou Ling, Lingda Wu, Wanpeng Xu Jul 2020

Hyperspectral Image Anomaly Detection Based On Background Reconstruction, Xiaorui Song, Zou Ling, Lingda Wu, Wanpeng Xu

Journal of System Simulation

Abstract: In the anomaly detection of hyperspectral images (HSIs), aiming at the difficulty of distinguishing the abnormal target from the background and the low accuracy of background prediction, a new HSI anomaly detection algorithm based on background sparse reconstruction is proposed. An online dictionary learning method is used to estimate the background spectral dictionary. The estimated background image is sparse reconstructed by the learning dictionary. The estimated background image is subtracted from the origin image to get the residual image. The anomaly detection is achieved by using the local RX detector to traverse the residual image. The effectiveness of the …

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Human Depth Maps Restoration Based On Guided Gan, Jingfang Yin, Dengming Zhu, Shi Min, Zhaoqi Wang Jul 2020

Human Depth Maps Restoration Based On Guided Gan, Jingfang Yin, Dengming Zhu, Shi Min, Zhaoqi Wang

Journal of System Simulation

Abstract: The depth maps captured by a small depth camera on mobile devices suffer from the problem of severe holes. The Guided Generative Adversarial Network (Guided GAN) based on deep learning is proposed to restore human depth maps with above problems. The high-precision human segmentation features and depth class features are extracted from the monocular RGB image by the guider based on the stacked hourglass network. The holes in the human depth maps are filled by the special generator under the guidance of the extracted human features. In order to get the more realistic results, the discriminator is introduced …

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Modeling And Visualization On Scalar Fields Of Meteorological Data, Shuoben Bi, Yucheng Gong, Mingyue Lu, Zhou Hao, Yuanxiang Mao Jul 2020

Modeling And Visualization On Scalar Fields Of Meteorological Data, Shuoben Bi, Yucheng Gong, Mingyue Lu, Zhou Hao, Yuanxiang Mao

Journal of System Simulation

Abstract: There are still many deficiencies in efficiency, interactivity, and accuracy in the visualization of meteorological scalar fields. Aiming at these problems, a display method based on multi-level volume rendering technology is proposed, which processes the spatial field data to form a three-dimensional space grid. Through the dynamic mapping between the scalar values and the color values and transparency, the three-dimensional dynamic visualization effect of the meteorological scalar data is realized. Aiming at the interpolation method for the traditional MC (Marching Cubes) algorithm being not applicable to the meteorological data, and the connection method having ambiguity problem, the improvement method …

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Preloading Mechanism Of Large-Scale Web3d Scene Based On Dr Prediction, Huijuan Zhang, Xinqi Guo, Dongqing Wang, Jinyuan Jia Jul 2020

Preloading Mechanism Of Large-Scale Web3d Scene Based On Dr Prediction, Huijuan Zhang, Xinqi Guo, Dongqing Wang, Jinyuan Jia

Journal of System Simulation

Abstract: In order to improve the loading efficiency of large-scale Web3D scene, a mechanism based on DR prediction is proposed. It combines the DR track prediction algorithm and historical path-based interest path clustering algorithm to track the field. The medium path prediction and path clustering in the traffic domain are applied to the virtual scene loading field, and a preloading mechanism of the Web3D scene is proposed. Experiment results show that the preloading mechanism can significantly improve the data transmission efficiency, optimize the loading speed of large-scale Web3D scene, and effectively improve the roaming experience of users in Web3D scene. …

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A Survey On Graph Representation And Visualization Techniques, Chen Yi, Menglu Zhang, Yuchai Wan Jul 2020

A Survey On Graph Representation And Visualization Techniques, Chen Yi, Menglu Zhang, Yuchai Wan

Journal of System Simulation

Abstract: A graph consists of nodes and edges, and represents the relationship between two or more entities. Graph-based analysis can help understand the structure and nature of the entity relationships and reveal the implicit relationships in graphs. The representation and visualization methods of graphs play an important role in the graph analysis. In graph visualization research, the accuracy of knowledge transfer and people's mental map, etc. should be considered first, then the graphs beauty, the time requirement, and the computer performance. The graph representation methods, graph layout algorithms, visualization methods based on node-link-graphs, adjacency matrices, and graph embedding are reviewed, …

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Learning Expression Recognition Based On Image Sequence, Suqin Wang, Zhang Feng, Yudou Gao, Shi Min Jul 2020

Learning Expression Recognition Based On Image Sequence, Suqin Wang, Zhang Feng, Yudou Gao, Shi Min

Journal of System Simulation

Abstract: By recognizing the facial expressions, the emotional state of learner can be judged and their learning effect can be analyzed. Due to the persistence and timing of facial expressions, the sequence of facial images is adopted as the object of facial expression recognition. The Long Short Term Memory Network (LSTM) and VGGNet are combined into a VGGNET-LSTM model. On this basis, facial expression recognition is carried out, which significantly improves the accuracy of recognition. Based on the transfer learning method, VGGNet is transferred to the learning expression data set after being pre-trained through the basic expression data set CK+ …

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An Adaptable Vr Software Framework For Collaborative Multi-Modal Haptic And Immersive Visual Display, Guo Yuan, Qianqian Tong, Yukai Zheng, Ziqi Wang, Yuru Zhang, Dangxiao Wang Jul 2020

An Adaptable Vr Software Framework For Collaborative Multi-Modal Haptic And Immersive Visual Display, Guo Yuan, Qianqian Tong, Yukai Zheng, Ziqi Wang, Yuru Zhang, Dangxiao Wang

Journal of System Simulation

Abstract: The spatiotemporal consistency of multi-modal haptic and immersive visual feedback, as well as the integration of hardware devices in the existing VR software framework, restricts the rapid development of visuo-haptic fusion scenarios in different industries such as medical, business, and entertainment. In order to tackle this problem, an adaptable VR software framework combining multi-modal haptic and immersive visual display is proposed. To meet the different requirements of visual rendering, haptic rendering and hardware control, the double-layer and three-layer architectures are devised according to the different precision requirements of visuo-haptic fusion feedback. Experimental results show that the framework has the …

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The Effect Of Aircraft Manufacturing Riveting Tools On Hand-Arm Vibrations And Muscle Fatigue, Lou Toua Vi Jul 2020

The Effect Of Aircraft Manufacturing Riveting Tools On Hand-Arm Vibrations And Muscle Fatigue, Lou Toua Vi

LSU Master's Theses

The overall objective of this research was to compare four types of rivet guns varying by manufacturer and piston material (Tungsten vs. Steel), two rivet gun handle positions (Horizontal and Vertical), and three bucking bars including two with similar dimensions bars made of tungsten and steel, and a Honsa new technology spring dampener and tungsten combined bucking bar based on their impact on hand-arm vibrations and the effect of these vibration levels on muscle fatigue. This objective was covered in three parts. The first part consisted of examining the impact of these factors on riveters’ vibration exposure and muscle fatigue, …

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University Startup Accelerators: Startup Launchpads Or Vehicles For Entrepreneurial Learning?, Lynn E. Metcalf, Thomas M. Katona, Jonathan L. York Jul 2020

University Startup Accelerators: Startup Launchpads Or Vehicles For Entrepreneurial Learning?, Lynn E. Metcalf, Thomas M. Katona, Jonathan L. York

Industrial Technology and Packaging

Over the past decade, universities have invested heavily in startup accelerator programs; however, their role in the university entrepreneurial ecosystem is ambiguous. Are university startup accelerators intended to educate or are they created to facilitate business starts and to contribute to regional economic development? In contrast, most private-sector startup accelerators serve a consistent and differentiated role in the entrepreneurial ecosystem—they provide programming and resources to startups to increase the probability of a return on investment. Understanding the role of university startup accelerators is an important precursor to evaluating their impact and whether or not the return is worth the considerable …

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Study Of Rheological Properties Of Solutions And Pulp During Dicalcium Phosphate Formation Process, Navruzbek Ibraimovich Khurramov, Tulkin Isamurodovich Nurmurodov, Nilufar Negboevna Bozorova, Zarifa Umarovna Karimova Jul 2020

Study Of Rheological Properties Of Solutions And Pulp During Dicalcium Phosphate Formation Process, Navruzbek Ibraimovich Khurramov, Tulkin Isamurodovich Nurmurodov, Nilufar Negboevna Bozorova, Zarifa Umarovna Karimova

Chemical Technology, Control and Management

This article presents the rheological properties of suspensions obtained on the basis of nitric acid decomposition of unfired phosphorites of the Central Kyzylkum, as well as the chemical compositions of dicalcium phosphate and solid residues after the filtration process. The mass-spectral analysis of the pure dicalcium phosphate salt obtained by ammonization of the liquid part separated from the solid residue and subjected to filtration was studied.

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Developing Highly Efficient Industrial Contact Heat Exchanger, Khoshim Shayimovich Bakhronov, Abdumalik Abduvahobovich Akhmatov, Yorkin Bakhodirovich Kadirov Jul 2020

Developing Highly Efficient Industrial Contact Heat Exchanger, Khoshim Shayimovich Bakhronov, Abdumalik Abduvahobovich Akhmatov, Yorkin Bakhodirovich Kadirov

Chemical Technology, Control and Management

The paper presents the results of an experimental study of the intensification of heat transfer of a swirling flow in a cylindrical channel with two tangential and axial swirlers. During the experiments, such parameters were measured as: air flow in front of the vortex apparatus; hot water consumption; pressure drop in the vortex apparatus; temperature of working media at the inlet to the apparatus and at the outlet of it. A method for intensifying the heat transfer process, which is based on swirling a gas stream by its tangential supply, has been developed and investigated. Experimental studies of the intensity …

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Image Processing Of Technological Objects, Lyudmila Petrovna Varlamova Jul 2020

Image Processing Of Technological Objects, Lyudmila Petrovna Varlamova

Chemical Technology, Control and Management

The article considers the problem of creating a smoke detection and fire detection system for technological objects. Fire detection is carried out using a vision system. Monitoring of technological objects is carried out using an unmanned aerial vehicle. For further actions, processing and classification of images is necessary. When observing the technological apparatuses of the chemical and petrochemical industry, problems arise associated with the large size, distribution and extent of objects. There may be situations in which there are violations of the technological regulations and, as a result, the occurrence of fire, fire and smoke. Using the technology of unmanned …

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Analysis Of Information Security Methods In Biosystems And Application Of Intelligent Tools In Information Security Systems, Sherzod Sayfullaev Jul 2020

Analysis Of Information Security Methods In Biosystems And Application Of Intelligent Tools In Information Security Systems, Sherzod Sayfullaev

Chemical Technology, Control and Management

In this paper, the methods of information protection in bio systems are studied. The paper considers the use of intelligent tools in information security systems and the use of adaptive information security systems. Several articles on the field of information protection in bio systems are analyzed. Disadvantages and advantages of neural network technologies in modern information security systems are described. The characteristics of bio systems and the specificity of DNA, the main features of the DNA code that provide information security and functional stability of bio systems data protection structure. Application of intelligent tools to create a comprehensive adaptive protection …

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Electronic Spam Filtering Based On Neural Networks, Tulkun Fayzievich Bekmuratov, Fayzullajon Bakhtiyorovich Botirov, Elshod Dilshod Ugli Haydarov Jul 2020

Electronic Spam Filtering Based On Neural Networks, Tulkun Fayzievich Bekmuratov, Fayzullajon Bakhtiyorovich Botirov, Elshod Dilshod Ugli Haydarov

Chemical Technology, Control and Management

This article analyzes the problem of filtering spam messages and addressing spam messages, Bayesian theorems based on artificial intelligence, LVQ algorithms (LVQ learning vector quantization) and a filtering scheme for systems based on neural networks. The direct construction of an effective neural network model of spam filtering using database recognition technology is considered. The parameters of access to the neural network how to include predefined statistical and non-statistical attributes of messages are given. The structure of neural network technology for classifying emails is also considered. The procedure for analyzing incoming data using the tool included in the analytical platform Deductor …

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Improving The Electrochemical Method Of Wastewater Treatment, Dilrabo Akramovna Muhammadieva, Diyor Asadullaevich Hadjibaev, Furkat Ilyasovich Erkabaev Jul 2020

Improving The Electrochemical Method Of Wastewater Treatment, Dilrabo Akramovna Muhammadieva, Diyor Asadullaevich Hadjibaev, Furkat Ilyasovich Erkabaev

Chemical Technology, Control and Management

With an electrochemical method of wastewater treatment, the preliminary isolation of iron, calcium and magnesium compounds from them contributes to a more intensive recovery process. The purpose of this work is to improve the efficiency of electrochemical treatment of industrial wastewater contaminated with chromium(III) and chromium(VI) ions. The research has determined the optimal conditions for increasing the yield of chromium in the Park during electrochemical treatment of chromate-containing wastewater by using modified bentonite for pre - treatment of wastewater. Pre-softening of wastewater with modified bentonite before electrochemical treatment made it possible to increase the current yield of chromium from 17% …

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New Methods For Obtaining Quality Drinking Water In A Water Treatment Plant, Djaloliddin Nosirovich Muxiddinov, Nilufar Abdusomi Qizi Yunusova, Islom Abdisalim Ugli Daynovov Jul 2020

New Methods For Obtaining Quality Drinking Water In A Water Treatment Plant, Djaloliddin Nosirovich Muxiddinov, Nilufar Abdusomi Qizi Yunusova, Islom Abdisalim Ugli Daynovov

Chemical Technology, Control and Management

The article discusses modern methods, the scientific justification and the study of effective technologies in water treatment schemes for the removal of pollution of natural and man-made origin to produce high-quality drinking water. And also the proposed water treatment plant has a high resource and the ability to effectively purify water from a large number of contaminants and can be used to purify and provide high-quality drinking water to small settlements and industrial facilities located away from transport highways, as well as residential facilities of social institutions, enterprises Catering.

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Procedure Formalization For Constructing An Adaptive Control System With A Reference Model Based On The Lyapunov Function, Tulkin Vafoqulovich Botirov Jul 2020

Procedure Formalization For Constructing An Adaptive Control System With A Reference Model Based On The Lyapunov Function, Tulkin Vafoqulovich Botirov

Chemical Technology, Control and Management

Discusses the formalization of the procedure for constructing an adaptive control system with a reference model based on the Lyapunov function. It is shown that the asymptotic stability of the extended system of differential equations guarantees accurate tracking of the desired output signal of the model. At the same time, the expediency of analyzing the asymptotic stability of the system in extended space using the Lyapunov function is shown. The above algorithms help to stabilize the computational matrix inversion procedure and thereby increase the accuracy of estimating the adjustable parameter in an adaptive control system.

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Distributed Information Space As An Associative Environment Of Communication Setting, Yusupbekov Rustambekovich Nodirbek, Shukhrat Manapovich Gulyamov, Nargiza Baxtiyorbekovna Usmanova, Malika Yuldashovna Doshchanova Jul 2020

Distributed Information Space As An Associative Environment Of Communication Setting, Yusupbekov Rustambekovich Nodirbek, Shukhrat Manapovich Gulyamov, Nargiza Baxtiyorbekovna Usmanova, Malika Yuldashovna Doshchanova

Chemical Technology, Control and Management

Modeling the structure of a distributed network can be based on the architecture of an associative infocommunication network, which displays the processes and mechanisms of interaction of components in the corresponding nodes of the structure. It is shown that for the description and functional representation of a distributed network, it is appropriate to apply decomposition for the field of software engineering, the purpose of which is to create theories that interact with each other according to well-defined rules. A conceptual representation of the distributed space behavior model is given. The paper discusses the modeling of the evolutionary search.

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Study Of Temperature Profile In Drying Process, Shaxnoza Abduvaxitovna Sultanova, Jasur Esirgapovich Safarov, Tojiniso Tursunboyevna Raxmanova Jul 2020

Study Of Temperature Profile In Drying Process, Shaxnoza Abduvaxitovna Sultanova, Jasur Esirgapovich Safarov, Tojiniso Tursunboyevna Raxmanova

Chemical Technology, Control and Management

The article describes the simulation of the temperature field in a wide range of structural and operational parameters of the drying process. A qualitatively new representation of the temperature field profile in the chamber is revealed. As a result of the experiments, criteria were found for the unevenness of the temperature profiles on the pallets of the dispersion of the temperature of the material and the slope of the approximating line at fixed values of the average temperature of the substance. In the course of the work, an interrelation between the criteria of unevenness was revealed, which is clearly manifested …

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Modeling Of Monitoring Systems Of Solar Power Stations For Telecommunication Facilities Based On Wireless Nets, Ilkhomjon Xakimovich Siddikov, Khalimjon Ergashevich Khujamatov, Doston Turayevich Khasanov, Ernazar Nurjamiyevich Reypnazarov Jul 2020

Modeling Of Monitoring Systems Of Solar Power Stations For Telecommunication Facilities Based On Wireless Nets, Ilkhomjon Xakimovich Siddikov, Khalimjon Ergashevich Khujamatov, Doston Turayevich Khasanov, Ernazar Nurjamiyevich Reypnazarov

Chemical Technology, Control and Management

In this paper described of modelling processes of the real-time remote monitoring system of solar power sources, modelled and investigated by wireless sensor nets of telecommunications devices. As a modelling environment was obtained Proteus software. In processes of modelling of the system, structure and a block diagram of the system were developed, each of elements is deleted to parts of the system and separately described. Specially created software for the research system. The structure of the system developed and software tested by modelling processes. The results of modelling of monitoring system presented in a virtual terminal, an oscillography, and a …

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Methods For Ensuring The Stability Of Design Reliability In Rural Telecommunications Network During Its Operation, Akbar Daniyarovich Normurodov Mr. Jul 2020

Methods For Ensuring The Stability Of Design Reliability In Rural Telecommunications Network During Its Operation, Akbar Daniyarovich Normurodov Mr.

Chemical Technology, Control and Management

The article discusses methods to ensure the stability of the design reliability of a rural telecommunications network during its operation. In rural areas, for a number of reasons, the power supply from the power supply network is interrupted at random times. In this regard, backup power sources are provided for the power supply of OLT equipment. To provide a telecommunication network with stable power supply, it is proposed to use solar sources of electricity.

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Study On Flywheel Automotive-Brake Energy Recovery System, Juhua Huang, Fuzhong Wang, Junping Yang Jul 2020

Study On Flywheel Automotive-Brake Energy Recovery System, Juhua Huang, Fuzhong Wang, Junping Yang

Journal of System Simulation

Abstract: The generator automotive-braking energy recovery system can only be applied to the new energy vehicles. In order to improve the situation, a kind of flywheel automotive-braking energy recovery system (FAERS) was proposed that could be applied to the traditional vehicles. The structure of the FAERS was designed and its working principle was explained in detail. The working principle of the FAERS and the main structural parameters—the maximum torque of the electromagnetic clutch, the transmission ratio of the energy storage flywheel and the rotational inertia of the energy storage flywheel were simulated in the environment of Matlab-Simulink, which …

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Improved Cuckoo Search Algorithm Applied To Multi-Objective Optimization Of Crowd Evacuation, Chongjie Dong, Liu Yi, Peng Yong Jul 2020

Improved Cuckoo Search Algorithm Applied To Multi-Objective Optimization Of Crowd Evacuation, Chongjie Dong, Liu Yi, Peng Yong

Journal of System Simulation

Abstract: The crowd evacuation problem is a multi-objective optimization problem in large public places under the emergency, but because of the conflict between multiple objectives in multi-objective optimization problem, it is difficult to make the multiple targets achieve the optimal at the same time. The most popular solution is an evolution multi objective optimization algorithm for the characteristics of heuristic search of population and the partial order relation. Cuckoo search algorithm is a new search algorithm which was found in the behavior of cuckoo nest spawning lies, the basic cuckoo search algorithm is lack of vitality, and search is slow. …

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Sliding Weighted Least Square Model For Short-Term Wind Power Prediction, Yanfeng Ge, Liang Peng, Liqun Gao, Junchang Zhai Jul 2020

Sliding Weighted Least Square Model For Short-Term Wind Power Prediction, Yanfeng Ge, Liang Peng, Liqun Gao, Junchang Zhai

Journal of System Simulation

Abstract: A new approach for wind power forecasting was proposed based on sliding window weighted recursive least squares for the defect of wind power short-term prediction in the traditional prediction methods. The historical data was weighted and the perturbation caused by the historical data was ruled out in this method, which focused on the current data on the result of prediction. This made the model have the adaptability to the change of the environment data. The harmony search algorithm was used to optimize the orders and the parameters of the predict model, which could improve the precision and accuracy of …

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Modeling Computation Entity Of Cps Based On Dynamic Behavior, Ye Feng, Xia Yang, Zhaoxiang Shen, Yunchao Zhu Jul 2020

Modeling Computation Entity Of Cps Based On Dynamic Behavior, Ye Feng, Xia Yang, Zhaoxiang Shen, Yunchao Zhu

Journal of System Simulation

Abstract: The Cyber-Physical System (CPS) has been highly concerned since it was proposed. However, the key of creating a good CPS system critically depends on the prophase design of the system model. Currently, it has become the focus and difficulty of research at home and abroad that models a CPS system with comprehensive, robustness, security. According to the previous studies, the CPS system was divided into computing entity, physical entity and control entity. A modeling method of computation entity of CPS was provided, which is DBM-UML (Dynamic behavior modeling-UML). With this method, an analysis of the entire system's structure …

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Method For Network Security Reinforcement Based On Gscpn Model, Gao Xiang, Liu Yang, Xiaoyuan He Jul 2020

Method For Network Security Reinforcement Based On Gscpn Model, Gao Xiang, Liu Yang, Xiaoyuan He

Journal of System Simulation

Abstract: In order to improve the security of networks in whole, a method of making strategies for the network security reinforcement based on Generalized Stochastic Colored Petri Net was proposed. The concepts of host node utilization index and host node key degree were introduced, which enabled the vulnerable nodes that needed repairing sorted by the value of host node key degree. On this basis, security level of the target network was increased by the reinforcement according to the principle of maximum node key degree first. The network instance further validates that the proposed method for network security reinforcement is …

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Object Tracking Method Based On Superpixel And Local Sparse Representation, Huixian Yang, Liu Zhao, Liu Yang, Liu Fan, Dilong He Jul 2020

Object Tracking Method Based On Superpixel And Local Sparse Representation, Huixian Yang, Liu Zhao, Liu Yang, Liu Fan, Dilong He

Journal of System Simulation

Abstract: Due to the appearance changing of target object in object tracking, a tracking algorithm was proposed based on superpixel and local sparse representation (SPS). In training process, a discriminative appearance model was constructed by clustering the segmented train images; sparsity-based histogram of target object was calculated to construct generative appearance model. In tracking, superpixel-based confidence map was obtained, and the confidence values of candidates was sampled and calculated; the similarity between sparsity-based histogram of candidates and target template was computed by using local patches. Then motion model and observation model of candidates according to the confidence values and …

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