Research on Traffic Flow Statistics Algorithm Based on Inter - Frame Similarity

Zhuhui He, Rui Kong, Bing Zhang, Cong Xiao, Zhanhong Gong, Yijian Liu
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Abstract

Considering some existing shortcomings in traffic flow statistics algorithm based on background subtraction and virtual loop, according to the change discipline of inter-frame similarity while vehicles passing in and out the virtual loop, we come up with a traffic flow statistics algorithm based on inter - frame similarity, which is able to overcome two problems: one is missed inspection since some detection targets are close to background color; the other one is repeated detection resulting from over-low speed, then we carry out the experimental results by using the algorithm.
基于帧间相似度的交通流统计算法研究
针对基于背景减法和虚拟环路的交通流统计算法存在的一些不足,根据车辆进出虚拟环路时帧间相似度的变化规律,提出了基于帧间相似度的交通流统计算法,该算法能够克服两个问题:一是由于部分检测目标与背景颜色接近而漏检;另一个是由于速度过低导致的重复检测,然后利用该算法对实验结果进行验证。
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