|
|
|
| Analysis of vehicle violation behavior based on multi-region decision model and SIFT |
| 1. School of Computer Science and Technology, Nantong University, Nantong, Jiangsu 226019, China| 2. School of Transportation, Nantong University, Nantong, Jiangsu 226019, China |
|
|
|
|
Abstract For the interlaced and occluded road conditions of large traffic flow and multi-motion trajectory, to effectively analyze the vehicle behavior, a method of vehicle violation behavior analysis was proposed based on SIFT key-points and multi-region decision model. The matching result of SIFT key-points between two video images was used to obtain the motion vector of each vehicle in the video image, and the effective behavior features were extracted. According to the objective driving regulations of different lane areas, a multi-region decision model was established for normal driving/violation driving of vehicles. Based on the decision model, the qualitative analysis of vehicle violation behavior was completed to obtain the behavior result. The results show that the proposed vehicle violation behavior analysis method has high detection accuracy, low false detection rate and simple implementation, and it can meet the needs of practical application environments for the traffic monitoring of complex traffic intersections.
|
|
|
|
|
|
|
|
|
2019, Vol. 40 
