Kalman Filter Based Tracking in an Video Surveillance System

Advances in Electrical and Computer Engineering

SULIMAN, C. ; CRUCERU, C. ; MOLDOVEANU, F..

关键词: video surveillance system;    optical flow;    Kalman filtering;    image processing;    tracking;   

DOI  :  10.4316/AECE.2010.02005

学科分类：计算机科学（综合）

来源: Universitatea "Stefan cel Mare" din Suceava

【 摘 要 】

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.

【 授权许可】

Unknown