Traffic Incident Detection Technology Based on Highly-shot Video
FU Yao-ya · Journal of Highway and Transportation Research and Development · 2014
Compared with traditional close-up video,highly-shot video can detect larger range of scene,it contains larger-scale changes in space,a higher complexity of scene,and more different types of traffic incident.We proposed a method of highly-shot video based traffic incident detection technology on the basis of learning from traditional close-up video based detection.First,we used Gaussian mixture model to perform background modeling and object-level background update for moving target detection.Then,we combined region-prediction-based and feature-based methods to track moving targets,lastly,by using vehicle features and regional independent and joint incidents detection to finish the traffic incident detection.We implemented the method to realize the highly-mounted video-based traffic incident detection,and increased the interpretability of highly-shot video with large scenes.