Method for acquiring people flow on the basis of video sequence

The invention relates to a method for acquiring a people flow on the basis of a video sequence and belongs to the technical field of image processing and video monitoring. The method comprises the following steps of: 1), acquiring a video and obtaining the video sequence by means of sampling; 2) performing coarse detection by using a candidate area detection module so as to obtain candidate target areas; 3) further screening the candidate target areas by using a convolutional neural network based on transfer learning and a support vector machine classifier model so as to obtain a detection target; 4) restricting a candidate target range to be associated according to track prediction; 5) associating target tracks by means of feature matching; and 6) acquiring the people flow by means of track information. The method saves a large number of human resources, prevents error statistics duo to man-made factors, well overcomes the disadvantages of manual counting in some cases, and may accurately locate a single pedestrian in order to provide great significance for subsequent analysis.