Local Search Particle Filter for a Video Surveillance System
نویسندگان
چکیده
This paper presents a work in progress for indoor and outdoor target detection and feature extraction in video sequences. The framework can be applied to AmI systems related to surveillance activities. The system is based on a Local Search Particle Filter (LSPF) algorithm, which tracks a moving target and calculates its bounding box. Possible applications of this prototype include assisted monitoring to supervise video sequences from different cameras, and scene analysis for domotic environments.
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