An Accident Recognition Algorithm with Multi-feature Weighted Fusion
Timely and accurate recognition of visual images in traffic accident scenes can effectively improve the speed of traffic accident processing and enhance the efficiency of traffic operation.Traditional methods set reasonable thresholds by extracting neighborhood image features of image key points,but neglect to build the image sector region feature vectors,resulting in low recognition accuracy.This paper proposes a multi-feature weighted fusion algorithm to complete the visual image recognition of traffic accident scenes by extracting traffic accident discrimination parameters such as speed variation,area variation,and direction variation.The test results show that the proposed method can effectively improve the recognition rate of visual images in traffic accident scenes and the recognition accuracy is high.
万方数据
维普
