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Method for counting high density population based on SURF characteristic

A crowd counting, high-density technology, applied in the field of computer vision, can solve the problem of video clarity and small traffic, and achieve good reliability.

Active Publication Date: 2012-09-12
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0006] The traditional computer vision-based people counting method mainly achieves counting by accurately locating and tracking each pedestrian. It is only suitable for high-definition video and low-flow situations, and it is not suitable for scenes with large flow or high crowd density. Not applicable

Method used

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  • Method for counting high density population based on SURF characteristic
  • Method for counting high density population based on SURF characteristic
  • Method for counting high density population based on SURF characteristic

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with the accompanying drawings.

[0036] refer to Figure 1 ~ Figure 4 , a high-density crowd counting method based on SURF features, using the advantages of computer vision in image processing, understanding, recognition, and project deployment flexibility, combined with the current traditional security monitoring and people flow statistics in image acquisition and preprocessing , feature extraction, detection and segmentation, as well as the deficiencies and shortcomings in the high-density crowd flow environment, and study the new problems and difficulties encountered in crowd counting in high-density crowds and open-field environments. Through the analysis of these new problems , problem analysis and solution, finally put forward a practical and environment-adaptive high-density crowd counting method and give the general implementation framework and design scheme under this method.

[0037] For th...

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Abstract

A method for counting high density population based on an SURF characteristi comprises the following steps: 1) collecting real time monitoring data by a camera, and pretreating images; 2) extracting feature points of moving people from the pretreated images; 3) feature points clustering: using an MST-DBSCAN algorithm which is based on a traditional DBSCN algorithm; 4) counting of people flow: according to the result of clustering in step 3), calculating a real time feature vector T of the crowd by (4), obtaining (5) using a support vector regression, and providing a predicted number of people by (5). The invention provides an effective method for counting high density population based on the SURF characteristic, and the method is suitable for scenes that have a large flow of people or a high density population.

Description

technical field [0001] The invention relates to the monitoring technology in the field of computer vision, in particular to a crowd counting method based on computer vision. Background technique [0002] Crowd flow counting has a wide range of applications, such as bus stops, subway platforms, tourist attractions and shopping mall entrances and exits. Using statistical flow data, managers can rationally dispatch manpower and material resources, and rationally allocate resources; in addition, in some public places such as squares and passages, effective management and emergency guidance can be achieved through crowd flow information, thereby avoiding a series of social security issues. People flow statistics play an important role in social security management. In addition to the manual counting method, the current common automatic people flow counting methods mainly include the following: [0003] (1) Mechanical pedal sensor mode. In this way, mechanical pedals are instal...

Claims

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Application Information

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IPC IPC(8): G06M11/00G06K9/66
Inventor 梁荣华刘向东毛剑飞黄鲜萍马祥音宦若虹
Owner ZHEJIANG UNIV OF TECH
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