A Method for Automatic Selection of Classifiers in People Counting System
A statistical system and automatic selection technology, applied in the fields of instruments, calculations, computer parts, etc., can solve the problems of inaccuracy and inconvenience of the classifier, and avoid the decline of statistical accuracy, the possibility of occurrence, and the reduction of statistical accuracy. the effect of the probability of
Inactive Publication Date: 2017-04-26
HUAZHONG UNIV OF SCI & TECH
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[0006] In view of the above defects or improvement needs of the prior art, the present invention provides a method for automatically selecting classifiers in the people counting system. Before the people counting system is running, the present invention selects the optimal classifier by means of online learning. Its purpose is to avoid the inaccuracy and inconvenience of manually setting classifiers in the human flow statistics algorithm based on statistical learning theory
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[0030] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.
[0031] figure 1 Shown is the flowchart of the classifier automatic selection method in the people flow statistics system of the present invention, comprises the following steps:
[0032] (1) Get the video source.
[0033] (2) Read a frame of image in the video source obtained in step (1). Fig. 2(a) shows a frame of image in the video source of the embodiment of the present invention.
[0034...
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The invention discloses an automatic selection method for classifiers in a people flow counting system, and belongs to the technical field of video monitoring and mode recognition. The automatic selection method comprises the following steps that: a plurality of imaging viewing angles are preset, and one classifier is respectively subjected to off-line training; during on-line studying, each classifier is respectively subjected to the following operations by aiming at a current input image: target detection is carried out, a current detected pedestrian target is correlated with an existing tracking target, uncorrelated tracking targets are tracked by adopting a tracking algorithm, and the uncorrelated detection targets are added into a tracking target queue; targets conforming to the conditions in the tracking target queue are counted; if the number of the targets counted by all of the classifiers does not exceed a threshold value, a next image is continuously processed; and the classifier with the most targets is selected to be used as the optimum classifier used in the people flow counting system. The method provided by the invention has the advantages that the optimum classifier can be automatically selected for the people flow counting system, and the problems of inaccuracy and inconvenience of manual setting of the classifiers are avoided.
Description
technical field [0001] The invention belongs to the technical field of video monitoring and pattern recognition, and more specifically relates to an automatic selection method of a classifier in a people flow counting system. Background technique [0002] In the 1970s, video surveillance systems began to appear. With the development of science and technology, video surveillance systems have had a very important impact on society, and surveillance cameras are almost everywhere in the streets and alleys. But in fact, many monitoring tasks undertaken by the current monitoring system still require manual intervention. With the development of artificial intelligence technology, a kind of intelligent monitoring system has emerged now. Analyze the collected video information through computer vision technology and pattern recognition technology, extract useful information in the video and perform related operations, so that the existing video surveillance system can automatically ...
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IPC IPC(8): G06K9/66
Inventor 桑农王莹彭章祥高常鑫杜文凯李冠萍
Owner HUAZHONG UNIV OF SCI & TECH