Performance of optical flow techniques
International Journal of Computer Vision
Moving Target Classification and Tracking from Real-time Video
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Object Tracking in Cluttered Background Based on Optical Flows and Edges
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Car Navigation System Based on Hybrid Genetic Algorithm
CSIE '09 Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering - Volume 05
Personalized Approach for Mobile Search
CSIE '09 Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering - Volume 05
A new approach of attribute reduction based on ant colony optimization
ICNC'09 Proceedings of the 5th international conference on Natural computation
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A new algorithm of vehicle detection on improved background difference method is presented in this article. A input image frames with fewer moving targets is choosen as the background initialization frames in the background model initialization phase. A new background or a foreground image of moving vehicles is distinguished based on the results of the difference and the value of threshold setted. Updating of background is associated with changes of actual background using dynamic weighting factor adaptively. Extraction and detection of moving vehicles are completed on the basis of comparing the segmentation threshold determined. It is shown that the improved background difference model proposed here is of a higher precision and efficiency in extraction and detection of moving vehicles by simulation testing.