Human Motion Detection and Tracking for Video Surveillance
نویسندگان
چکیده
An Automated Video Surveillance system is presented in this paper. The system aims at tracking an object in motion and classifying it as a Human or Non-Human entity, which would help in subsequent human activity analysis. The system employs a novel combination of an Adaptive Background Modeling Algorithm (based on the Gaussian Mixture Model) and a Human Detection for Surveillance (HDS) System. The HDS system incorporates a Histogram of Oriented Gradients based human detector which is well known for its performance in detecting humans in still images. Detailed analysis is carried out on the performance of the system on various test videos.
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تاریخ انتشار 2007