A Novel approach for Evaluation of video tracking Under Real world conditions
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1
Abstract
Tracking object in videos has applications in video surveillance and other main applications. The absence of a commonly adopted performance evaluation Framework is hampering advances in the design of effective video trackers. Tracking an object in a video is a challenging process. The proposed algorithm to track the multiple objects in a video even in conditions such as diversity of targets (head, vehicle and person) and challenges (occlusions, background clutter, pose changes and scale changes).The objects can be tracked based on the compression domain and pixel domain. Using background subtraction method the objects in the fore ground are extracted. The objects in the frame are then detected and then the detected objects are labelled. Performance analysis is done and the tracking accuracy and tracking failures are measured. The proposed system is used to improve the tracking accuracy and decrease the tracking failures in the video tracking process. Finally Performance analysis shows that for different type of trackers our algorithm shows best performance.
Authors and Affiliations
M. Jeeva
Keywords
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