People counting system for processing single-frame image

Abstract

The invention relates to a people counting system for processing a single-frame image. The system comprises an off-line training module and an on-line detection module. The off-line training module firstly acquires the image training set of an application scenario and then manually marks out positive and negative samples in the image training set for training a cascaded detector. Meanwhile, the image training set is detected by the already trained detector. After that, a people number positive and negative sample set is reconstructed based on the above detection result for training a classifier. The on-line detection module coarsely detects the number of people shown in a to-be-calculated image at first by means of the cascaded detector to figure out the suspected people-showing region of the image. After that, the on-line detection module further identifies and confirms the suspected people-showing region of the image by means of the classifier. Finally, various types of priori information in the application scenario are utilized for the aftertreatment on the detection result, so that a final detection result can be obtained. Based on the above system, a large amount of human resources can be saved. The error statistics caused by human factors can be avoided. Meanwhile, the counting disadvantage in some scenarios caused by the manual counting operation can be well overcome.

Description

technical field [0001] The invention belongs to the technical field of image processing and video monitoring, and relates to a people counting system based on single-frame image processing. Background technique [0002] At present, with the continuous development and influence of intelligent technology, image processing and video surveillance systems have been widely used in various aspects, and traditional manual control methods are gradually being replaced by intelligent equipment. Among them, the people counting system plays a very important role in real life applications as an evaluation of counting systems in open or closed environments. For example, by automatically counting the number of classrooms, the attendance rate of each subject can be inspected, so as to reasonably evaluate the teaching quality, and at the same time help students quickly choose a suitable self-study classroom. Through the statistics of the number of passengers entering and leaving the subway s...

AI Technical Summary

Problems solved by technology

[0003] However, the traditional manual counting method may consume a lot of human resources or cause wrong statistics. Therefore, there is an urgent need for a real-time automatic counting system that can overcome the disadvantages of manual counting.

Images