Intelligent Target Detection and Tracking of Moving Targets From Real Time Video Sequences
نویسندگان
چکیده
This paper describes a technique for extracting moving targets and robustly tracking them from real time video sequence. It consists of two phases: Initial segmentation, temporal tracking and optimal paraimeter selection. After target detection subsequent tracking is based on a modified Canny edge detection and accelerated Hausdorff measure. The modified canny edge detection algorithm produces closed loop edges. The manual optimization of the thresholds for edge detection is replaced by adaptive inputs based on the initial segmentation. An accelerated Hausdorff measure is used here to make the system computationally inexpensive. This technique differs from other methods in the following features: 1) Non-feature based method, 2) Can effectively track fast moving targets, 3) Modified Canny dege detection and accelerated Hausdorff measure for robust yet computationally inexpensive tracking, 5) dynamic template updation makes it sutable to track any unknown object. The resulting system robustly identifies targets of interest, rejects background clutter, and continually tracks over large distances despite occlusions, appearance changes, and cessation of target motion.
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