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Full-Text Articles in Signal Processing
Solving The Vehicle Re-Identification Problem By Using Neural Networks, Tanweer Rashid
Solving The Vehicle Re-Identification Problem By Using Neural Networks, Tanweer Rashid
Computational Modeling & Simulation Engineering Theses & Dissertations
Vehicle re-identification is the process by which vehicle attributes measured at one point on a road network are compared to vehicle attributes measured at another point in an effort to match vehicles without using any unique identifiers such as license plate numbers. A match is made if the two measurements are estimated to belong to the same vehicle. Vehicle attributes can be sensor readings such as loop induction signatures, or they can also be actual vehicle characteristics such as length, weight, number of axles, etc. This research makes use of vehicle length, travel time, axle spacing and axle weights for …
Development Of A Novel Methodology For Indoor Emission Source Identification, Kwanghoon Han
Development Of A Novel Methodology For Indoor Emission Source Identification, Kwanghoon Han
Kwanghoon Han
The objective of this study was to develop and evaluate a methodology to identify individual sources of emissions based on the measurements of mixed air samples and the emission signatures of individual materials previously determined by Proton Transfer Reaction-Mass Spectrometry (PTR-MS), an on-line analytical device. The methodology based on signal processing principles was developed by employing the method of multiple regression least squares (MRLS) and a normalization technique. Samples of nine typical building materials were tested individually and in combination, including carpet, ceiling material, gypsum board, linoleum, two paints, polyolefine, PVC and wood. Volatile Organic Compound (VOC) emissions from each …
Automated Detection And Counting Of Pedestrians On An Urban Roadside, Gayatri D. Prabhu
Automated Detection And Counting Of Pedestrians On An Urban Roadside, Gayatri D. Prabhu
Masters Theses 1911 - February 2014
This thesis implements an automated system that counts pedestrians with 85% accuracy. Two approaches have been considered and evaluated in terms of count accuracy, cost and ease of deployment. The first approach employs the Autoscope Solo Terra, a traffic camera which is widely used to monitor vehicular traffic. The Solo Terra supports an image processing-based detector that counts the number of objects crossing user-defined areas in the captured image. The count is updated based on the amount of movement across the selected regions. Therefore, a second approach has been considered that uses a histogram of oriented gradients (HoG), an advanced …