期刊
ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING
卷 10, 期 2, 页码 30-34出版社
UNIV SUCEAVA, FAC ELECTRICAL ENG
DOI: 10.4316/AECE.2010.02005
关键词
Video Surveillance System; Optical Flow; Kalman Filtering; Image Processing; Tracking
资金
- Sectoral Operational Programme Human Resources Development (SOP HRD)
- European Social Fund
- Romanian Government [POSDRU/6/1.5/S/6]
In this paper we have developed a Matlab/Simulink based model for monitoring a contact in a video surveillance sequence. For the segmentation process and corect identification of a contact in a surveillance video, we have used the Horn-Schunk optical flow algorithm. The position and the behavior of the correctly detected contact were monitored with the help of the traditional Kalman filter. After that we have compared the results obtained from the optical flow method with the ones obtained from the Kalman filter, and we show the correct functionality of the Kalman filter based tracking. The tests were performed using video data taken with the help of a fix camera. The tested algorithm has shown promising results.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据