Tracking of Moving Targets in Video Sequences
نویسندگان
چکیده
A research has been carried out finalised to the definition of a methodology useful to address the task of detection and tracking of moving targets. Algorithms performing this task for real time monitoring and surveillance purposes have been developed. Due to deformations occurring in the appearance of the target in real time video sequences, a Hierarchical Neural Network (HNN) has been used for target recognition, in order to take into account events of target occlusion or masking, and to increase the normal tracking performance. Preliminary results are presented regarding both, identification and tracking of animal moving at night in an open environment, and the surveillance of known scenes for unauthorized access control. Key-Words: Target Tracking, Hierarchical Neural Networks, Image Processing, Object Recognition.
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