Subway Intelligent Traffic Information Collection Based on 3 d Vision Algorithm Research

According to the traditional acquisition methods, there is the problem of low accuracy in the acquisition of subway passenger information collection, the proposed intelligent subway passenger information acquisition algorithm based on 3D vision, first using the equipment of CCD digital camera or sensor shooting ZhengZhou subway passenger texture image, to digitize the subway passenger information using three dimensional vision sensing technology, the subway passenger information the data are to the depth of processing noise, threshold segmentation; state space reconstruction and time sequence of subway passenger information, calculating the autocorrelation function of subway passenger information of time series; finally, based on the calculation results of the statistics on the subway passenger information with GPS, wireless communication, subway vehicle tracking and subway card charges intelligent acquisition system, complete the subway passenger information. The experimental results show that the proposed algorithm can greatly improve the efficiency of subway passenger flow information collection, accelerate the speed of information collection, and reduce the cost.