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Electrical and Computer Engineering
UNLV Theses, Dissertations, Professional Papers, and Capstones
Computer vision; Electronic surveillance; Electronic traffic controls; Sensor networks; Traffic signs and signals
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Evaluation Of Video Based Pedestrian And Vehicle Detection Algorithms, Varun Bandarupalli
Evaluation Of Video Based Pedestrian And Vehicle Detection Algorithms, Varun Bandarupalli
UNLV Theses, Dissertations, Professional Papers, and Capstones
Video based detection systems rely on the ability to detect moving objects in video streams. Video based detection systems have applications in many fields like, intelligent transportation, automated surveillance etc. There are many approaches adopted for video based detection. Evaluation and selecting a suitable approach for pedestrian and vehicle detection is a challenging task. While evaluating the object detection algorithms, many factors should be considered in order to cope with unconstrained environments, non stationary background, different object motion patterns and the variation in types of object being detected.
In this thesis, we implement and evaluate different video based detection algorithms …