Counting People Based on Multiple Targets Detection and Tracking
基于多目标检测与跟踪的密集客流检测

In this paper we proposed a method for determining the passenger flux based on SVM(support vector machine)detection and Mean Shift tracker. With adaptive detection window, the histogram of the gradient orientations is extracted through the detection region. After classification and clustering, the initial head hypotheses are obtained. Then, the Mean Shift tracker is used to track them, and image sequences of the head are achieved. By the whole decision on the consecutive head sequences using SVM, the number of people is obtained. Experimental results show that the adaptive sliding window method reduces the time consumption, and the accuracy of detection is improved by the combination with head tracking.