Moving Object Detection Based on Kirsch Operator Combined with Optical Flow

摘要：

The detection of moving object is important in many tasks, such as video surveillance and moving object tracking. Although there are some methods for the moving object detection, it is still a challenging area. In this paper, a new method which combines the Kirsch operator with the Optical Flow method (KOF) is proposed. On the one hand, the Kirsch operator is used to compute the contour of the objects in the video. On the other hand, the Optical Flow method is adopted to establish the motion vector field for the video sequence. Then the Otsu method is implemented after the Optical Flow method in order to distinguish the moving object and the background clearly. Finally the contour information fuses the information of motion vector field to label the moving objects in the video sequences. The experiment results prove that the proposed method is effective for the moving objects detection.

关键词： Moving object detection KOF Kirsch operator Optical Flow Otsu method

作者: Ping Gao Xiangju Sun Wei Wang

作者单位: School of Information Science and Engineering, Lanzhou University Lanzhou, China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 620-624

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）