Abstract—Moving target detection is a fundamental problem in computer vision. Most target detection methods only detect the rough area of the target. However, there are also many applications (e.g., advanced video surveillance system, hybrid video camera system, etc.) need to detect the accurate target area for analyzing the movement or behavior. These applications always product noisy video frames and will lead to high false rates using previous method. In this paper, a two-step accurate moving target detection method is proposed. This method obtains a rough target area using a color background subtraction method with a feedback to background estimation, followed by a modified SUSAN method to estimate the accurate target edge. The modified SUSAN method uses the grads magnitudes to achieve an adaptive threshold and the gray barycenter criterion for denoising. Experimental results demonstrate the proposed method is effective for accurate moving target detection in different noise level video frames compare to several competitive methods proposed in the literature.

Index Terms—Moving target detection, color background subtraction, SUSAN edge detection

The authors are with National University of Defense Technology, College of Information System and Management, ChangSha, Hunan, China (e-mail: zhangjun1975@nudt.edu.cn, xskgfkd@163.com).

Cite:Jun Zhang, Shukui Xu, Kuihua Huang, and Tingjin Luo, "Accurate Moving Target Detection Based on Background Subtraction and SUSAN," International Journal of Computer and Electrical Engineering vol. 4, no. 4, pp. 436-439, 2012.