Detection and Tracking of Multiple Targets Based on Video Processing

Video processing has become an efficient technique support for collecting parameters of urban traffic. Detection and tracking of multiple targets with an uncalibrated CCD camera is developed in this paper. In order to obtain moving targets from the video sequence efficiently, the paper presents Mixture Gaussian background model based on object-level, and moving objects are extracted after background subtraction. Moving multi-targets are tracked through integration of the motion and shape features by Kalman filter modeling. In order to ensure the continuity and the stabilization, occlusion processing is performed. The proposed approach is validated under real traffic scenes. Experimental results show that detection and tracking are robust and adaptive, can be well applied in real-world.