A Precise Vehicle Location Method Based on Regional Discrimination and Reverse Information Transmission

With the explosive growth of intelligent traffic image data,the demand for accurate location management of large data vehicles has increased.In this paper,an end to end vehicle and internal detail position method is proposed to solve the problem of vehicle location deviation which caused by small target location instability and distance dispersion by SSD detection algorithm.Firstly we introduce invalid target filtering mechanism to effectively restrain location deviation.Secondly we add area location information back layer and sharing the local feature of low convolution layers.Thirdly we enlarge the size of target local receptive field and effectively locate the details inside the vehicles.From the PASCAL VOC2007 experimental results,the improved method has achieved good results.