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摘要
Moving object detection based on the ViBe algorithm has high processing efficiency, but also some defects under complicated background, for example, it is unable to effectively suppress the ghost shadows and residual shadows of moving objects, vulnerable to noise, which is more apparent in processing of traffic videos. Subject to such deficiencies, the original ViBe algorithm was improved in the paper, as in to make judgment on pixel of ghost shadows and residual shadows by using life length matrix of pixel, to apply second update strategy to improve shadow elimination speed. According to changes of pixel value, OTSU method was introduced to transform the original fixed pixel threshold value into dynamic threshold and to promote the anti-jamming capability of vehicle objects detection contained in traffic videos. The results show that among the three groups of traffic scene video, the improved algorithm is able to eliminate the ghost shadows and residual shadows of moving objects within few frames. The quantitative analysis on results also proved the application of dynamic threshold in such improved algorithm could promote the accuracy and overall performance of object detection in traffic videos.
- 出版日期2017
- 单位天津工业大学
