A fast approach for person detection and tracking Online publication date: Wed, 12-Sep-2012
by Ahmed Ali; Kenji Terada
International Journal of Computer Applications in Technology (IJCAT), Vol. 44, No. 3, 2012
Abstract: Object detection and tracking is one of the most popular areas of video processing and the essential requirement of any surveillance system. A fast approach for person detection and tracking is presented. This work proposes to do target tracking with Kalman filter. In case of a misdetection, which would lead a wrong update of the filter, a fast mean shift iteration based on integral computation is performed to propose a more accurate detection. Tracking results are demonstrated for complex scenes and evaluation of the proposed tracking approach is presented.
Online publication date: Wed, 12-Sep-2012
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