Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Computer vision (8)
- Machine learning (7)
- Action recognition (6)
- Tracking (6)
- Algorithms (5)
-
- Evolutionary computation (4)
- Artificial intelligence (3)
- Augmented reality (3)
- Authentication (3)
- Global illumination (3)
- Intrusion detection (3)
- Pattern recognition (3)
- Recognition (3)
- Uav (3)
- User study (3)
- Wavelets (3)
- 3D reconstruction (2)
- Artificial Intelligence (2)
- Bioinformatics (2)
- Communities (2)
- Computer Science (2)
- Computer graphics (2)
- Crowdsourcing (2)
- Data clustering (2)
- Data mining (2)
- Engineering, Computer Science (2)
- GPU (2)
- Genetic algorithms (2)
- Gestures (2)
- High performance computing (2)
- Publication Year
- Publication
- Publication Type
Articles 181 - 188 of 188
Full-Text Articles in Engineering
Adaptive Intelligent User Interfaces With Emotion Recognition, Fatma Nasoz
Adaptive Intelligent User Interfaces With Emotion Recognition, Fatma Nasoz
Electronic Theses and Dissertations
The focus of this dissertation is on creating Adaptive Intelligent User Interfaces to facilitate enhanced natural communication during the Human-Computer Interaction by recognizing users' affective states (i.e., emotions experienced by the users) and responding to those emotions by adapting to the current situation via an affective user model created for each user. Controlled experiments were designed and conducted in a laboratory environment and in a Virtual Reality environment to collect physiological data signals from participants experiencing specific emotions. Algorithms (k-Nearest Neighbor [KNN], Discriminant Function Analysis [DFA], Marquardt-Backpropagation [MBP], and Resilient Backpropagation [RBP]) were implemented to analyze the collected data signals …
Object Tracking And Activity Recognition In Video Acquired Using Mobile Cameras, Alper Yilmaz
Object Tracking And Activity Recognition In Video Acquired Using Mobile Cameras, Alper Yilmaz
Electronic Theses and Dissertations
Due to increasing demand on deployable surveillance systems in recent years, object tracking and activity recognition are receiving considerable attention in the research community. This thesis contributes to both the tracking and the activity recognition components of a surveillance system. In particular, for the tracking component, we propose two different approaches for tracking objects in video acquired by mobile cameras, each of which uses a different object shape representation. The first approach tracks the centroids of the objects in Forward Looking Infrared Imagery (FLIR) and is suitable for tracking objects that appear small in airborne video. The second approach tracks …
Image Based View Synthesis, Jiangjian Xiao
Image Based View Synthesis, Jiangjian Xiao
Electronic Theses and Dissertations
This dissertation deals with the image-based approach to synthesize a virtual scene using sparse images or a video sequence without the use of 3D models. In our scenario, a real dynamic or static scene is captured by a set of un-calibrated images from different viewpoints. After automatically recovering the geometric transformations between these images, a series of photo-realistic virtual views can be rendered and a virtual environment covered by these several static cameras can be synthesized. This image-based approach has applications in object recognition, object transfer, video synthesis and video compression. In this dissertation, I have contributed to several sub-problems …
High Performance Data Mining Techniques For Intrusion Detection, Muazzam Ahmed Siddiqui
High Performance Data Mining Techniques For Intrusion Detection, Muazzam Ahmed Siddiqui
Electronic Theses and Dissertations
The rapid growth of computers transformed the way in which information and data was stored. With this new paradigm of data access, comes the threat of this information being exposed to unauthorized and unintended users. Many systems have been developed which scrutinize the data for a deviation from the normal behavior of a user or system, or search for a known signature within the data. These systems are termed as Intrusion Detection Systems (IDS). These systems employ different techniques varying from statistical methods to machine learning algorithms. Intrusion detection systems use audit data generated by operating systems, application softwares or …
Fast Algorithms For Fragment Based Completion In Images Of Natural Scenes, Siddharth Rajkumar Borikar
Fast Algorithms For Fragment Based Completion In Images Of Natural Scenes, Siddharth Rajkumar Borikar
Electronic Theses and Dissertations
Textures are used widely in computer graphics to represent fine visual details and produce realistic looking images. Often it is necessary to remove some foreground object from the scene. Removal of the portion creates one or more holes in the texture image. These holes need to be filled to complete the image. Various methods like clone brush strokes and compositing processes are used to carry out this completion. User skill is required in such methods. Texture synthesis can also be used to complete regions where the texture is stationary or structured. Reconstructing methods can be used to fill in large-scale …
Depth From Defocused Motion, Zarina Myles
Depth From Defocused Motion, Zarina Myles
Electronic Theses and Dissertations
Motion in depth and/or zooming causes defocus blur. This work presents a solution to the problem of using defocus blur and optical flow information to compute depth at points that defocus when they move. We first formulate a novel algorithm which recovers defocus blur and affine parameters simultaneously. Next we formulate a novel relationship (the blur-depth relationship) between defocus blur, relative object depth and three parameters based on camera motion and intrinsic camera parameters. We can handle the situation where a single image has points which have defocused, got sharper or are focally unperturbed. Moreover, our formulation is valid regardless …
Automatic Annotation Of Database Images For Query-By-Concept, Nualsawat Hiransakolwong
Automatic Annotation Of Database Images For Query-By-Concept, Nualsawat Hiransakolwong
Electronic Theses and Dissertations
As digital images become ubiquitous in many applications, the need for efficient and effective retrieval techniques is more demanding than ever. Query by Example (QBE) and Query by Concept (QBC) are among the most popular query models. The former model accepts example images as queries and searches for similar ones based on low-level features such as colors and textures. The latter model allows queries to be expressed in the form of high-level semantics or concept words, such as "boat" or "car," and finds images that match the specified concepts. Recent research has focused on the connections between these two models …
Sinbad Automation Of Scientific Process: From Hidden Factor Analysis To Theory Synthesis, Olcay Kursun
Sinbad Automation Of Scientific Process: From Hidden Factor Analysis To Theory Synthesis, Olcay Kursun
Electronic Theses and Dissertations
Modern science is turning to progressively more complex and data-rich subjects, which challenges the existing methods of data analysis and interpretation. Consequently, there is a pressing need for development of ever more powerful methods of extracting order from complex data and for automation of all steps of the scientific process. Virtual Scientist is a set of computational procedures that automate the method of inductive inference to derive a theory from observational data dominated by nonlinear regularities. The procedures utilize SINBAD – a novel computational method of nonlinear factor analysis that is based on the principle of maximization of mutual information …