Method for counting pedestrians and vehicles based on virtual gate

A technology of virtual bayonet and counting method, which is applied in computing, image data processing, computer parts, etc., can solve the problems of low accuracy and inability to count the number of pedestrians and vehicles passing through the virtual bayonet, and achieves the effect of flexible application

Inactive Publication Date: 2011-08-17
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, the estimation method of the dense optical flow field used in this method has low accuracy, and it is...

Method used

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  • Method for counting pedestrians and vehicles based on virtual gate
  • Method for counting pedestrians and vehicles based on virtual gate
  • Method for counting pedestrians and vehicles based on virtual gate

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Embodiment

[0052] In this embodiment, a virtual checkpoint is set for a certain "campus three-way intersection" video sequence, and the number of pedestrians and vehicles is counted in real time. The design parameters are set as follows: virtual bayonet position (10, 120), (180, 10); the number of Gaussians of the virtual bayonet background model is set to 3, the Gaussian background threshold parameter bg_threshold=0.4, the maximum number of effective corners CornerNumber = 2000, percentage threshold QualityLevel = 0.01, minimum distance parameter MinDistance between corner points = 5, window size SubPixWinSize = 9; number of pyramid layers PydLevel = 5, preset window size OptiWinSize = 9 when calculating the optical flow value; region growth method iteration Number of times K=20; optical flow classification threshold Thres=4.9; normalization parameter k car =2.44×10 -7 、k ped =1.68×10 -6 , viewing angle compensation parameters a=-0.1, b=120.

[0053] Such as figure 1 As shown, this...

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Abstract

The invention discloses a method for counting pedestrians and vehicles based on a virtual gate in the technical field of video image processing. The method comprises the following steps of: calculating an optical flow value of an angular point which has higher confidence in a foreground area; then obtaining a dense optical flow field of the foreground area by using a method for area increase of the foreground area based on the obtained optical flow value of the angular point, so as to overcome influence of the incorrect optical flow value on algorithm accuracy; and further classifying the dense optical flow field by using a threshold value, and carrying out integral operation on optical flow information which is obtained by classification and indicates the pedestrians and the vehicles, to obtain the number of the pedestrians and the number of the vehicles passing through the virtual gate. Compared with the conventional algorithm for counting the number of the pedestrians, the method provided by the invention has the advantages that: the number of the pedestrians and the number of the vehicles can be counted simultaneously in the same algorithm frame, so that the application of the algorithm in a real scene is more flexible.

Description

technical field [0001] The invention relates to a method in the technical field of digital video processing, in particular to a method for counting the number of pedestrians and vehicles based on a virtual checkpoint. Background technique [0002] As a practical application in the field of computer vision, the counting method of the number of pedestrians and vehicles plays an important role in traffic information statistics, passenger flow guidance, and dense crowd flow warning. Due to the diversity of scenes and the limitations of equipment conditions, how to achieve robust statistics of pedestrians and vehicles in various environments has always been a research hotspot. The traditional methods based on target tracking and detection have high requirements on the scene and because of the generally large amount of calculation of such methods, their application in real-time systems is limited. [0003] Through the literature search of the existing technology, it is found that...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/20G06K9/00G06K9/62
Inventor 徐奕杨小康陆家骏
Owner SHANGHAI JIAO TONG UNIV
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