Tracking Multiple People for Video Surveillance
نویسنده
چکیده
This paper addresses the problem of detecting and tracking multiple moving people in a complex environment with unknown background. In this paper, we propose a new correlation-based matching technique for feature-based tracking. Our method was compared with two existing matching techniques, namely the normalized Euclidean distance and histogram-based matching. Experimental results on real-images suggest that our correlation-based approach is more accurate and efficient than the other two approaches.
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