Fast illegal vehicles detection methods based on robust color difference histogram
Zhe Zou · Computer Engineering and Applications Journal · 2013
As traditional intelligent traffic detection systems have poor real-time capability and can be easily influenced by illumination variations, which leads to a problem in identifying vehicles peccancy and capturing the image about them. A robust and fast vehicles peccancy detection and tracking method is proposed based on color difference histogram algorithm and Kalman filter. Background fuzzy matching method is used to select initial background images. Color difference histogram algorithm which is robust to environmental change is used to detect moving targets. Kalman filter is used to track and predict the mass centroid of the moving targets in order to detect the same target in the predictive zone. The trajectory of the mass center is used to identify them and capture them. The experimental results through the detection of the actual roadway scene under different environments demonstrate that the proposed method can identify vehicles peccancy fast and accurately.