Title: A fast approach for person detection and tracking

Authors: Ahmed Ali; Kenji Terada

Addresses: Graduate School of Advanced Technology and Science, University of Tokushima, 2-1 Minami-Josanjima, Tokushima, 770-8506, Japan. ' Graduate School of Advanced Technology and Science, University of Tokushima, 2-1 Minami-Josanjima, Tokushima, 770-8506, Japan

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.

Keywords: Kalman filter; mean shift algorithm; object tracking; object detection; video processing; surveillance systems; target tracking; detecting people; tracking people.

DOI: 10.1504/IJCAT.2012.049084

International Journal of Computer Applications in Technology, 2012 Vol.44 No.3, pp.210 - 216

Available online: 12 Sep 2012 *

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