An adaptive object detection scope algorithm based on SIFT

摘要：

For camera movement causes moving objects detecting and tracking problems under complex background, we propose an adaptive object detection scope algorithm based on SIFT features. Firstly, let camera stationary and obtain three images to detect the moving object by using three-frame-difference method, then extract the object SIFT features. Secondly, according to the location and displacement of the object in the dynamic background, we determine the detection scope which matches the object well and obtain the minimum rectangle which can surround the right matching points in the detection scope, and then update the object template. The algorithm avoids the analysis of the complex relative motion between the object and the background, and reduces mismatch points and the calculation amount. This algorithm can quickly and accurately track the object without occlusion, and performs robust in small occlusion case.

关键词： SIFT dynamic background object tracking three-frame-difference method

作者: Yuanyuan Lu Xiangyang Xu Yaping Dai Bin Zheng

作者单位: School of Automation Beijing Institute of Technology Beijing, China

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 460-463

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）