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Real-time high-precision people stream counting method

A counting method and high-precision technology, applied in the field of image processing, can solve the problems of low counting accuracy of people flow, low target recognition rate, and poor real-time target detection.

Inactive Publication Date: 2015-01-28
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, and to provide a real-time high-precision people flow system for the low target recognition rate and low real-time target detection accuracy caused by the interference of environmental and human factors. counting method

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Embodiment Construction

[0024] In the following, an embodiment of a real-time high-precision crowd counting method proposed by the present invention in conjunction with the process shown in the drawings includes the following steps.

[0025] Such as figure 1 In the illustrated embodiment, a real-time high-precision flow counting method of the present invention has the following steps:

[0026] Step 1: Collect the video images of the school gates with dense pedestrians on campus;

[0027] Step 2: Use the Latent SVM method (see Pedro F. Felzenszwalb, Ross B. Girshick, David McAllester and Deva Ramanan. Object Detection with Discriminatively Trained Part-Based Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(9) for details: 1627-1645, 2010), train the pedestrian deformable component model. The training data adopts internationally used pedestrian image databases, including PASCAL database, INRIA database, etc., select 9000 pedestrian images from the pedestrian image database as positi...

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Abstract

The invention provides a real-time high-precision people stream counting method, which comprises two steps of moving target foreground extraction and foreground area pedestrian detection, wherein the step of moving target foreground extraction comprises the following steps: carrying out foreground detection on an obtained video frame sequence to obtain a foreground area comprising moving targets, such as pedestrians, vehicles and the like; and the step of foreground area pedestrian detection comprises the following steps: carrying out pedestrian detection on the foreground area by utilizing an off-line training deformable component model to determine the amount and the positions of the pedestrians in the foreground area, and tracking the subsequent movement of pedestrian targets by taking a current frame detection result as start to judge and record a situation that people streams enter and leave a gate. The method extracts the foreground area which comprises a target on the basis of a background subtraction method, so that an algorithm satisfies a real-time calculation condition, the pedestrian detection based on the deformable component model guarantees the high precision of people stream counting, a real-time people stream counting method with high precision and good shielding resistance is provided, and the real-time high-precision people stream counting method exhibits high practical value and good development prospect.

Description

Technical field [0001] The invention belongs to the technical field of image processing, and particularly relates to a real-time high-precision human flow counting method. Background technique [0002] In modern society, security is a very important field, and video surveillance technology is one of the core components of security technology. Video surveillance has a wide range of applications, including motion detection, target tracking, face recognition, vehicle recognition, and legacy Object / removed object detection, abnormal behavior detection and recognition, people counting, crowd density estimation, crowd control in public places, vehicle flow control at traffic intersections, etc. [0003] Due to important research topics in both theoretical research and practical application, pedestrian flow counting has always attracted the interest of a large number of researchers. At the application level, people flow statistics can play different roles in different applications. It ca...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/66
CPCG06V20/53G06F18/2411
Inventor 陈泳瑾孙宁李晓飞
Owner NANJING UNIV OF POSTS & TELECOMM
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