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Adaptive population counting method

A crowd counting and adaptive technology, applied in computing, computer parts, instruments, etc., can solve the problems of poor density effect, high complexity and high cost, and achieve the effect of improving accuracy, expanding the scope of use, and robust and accurate detection effect.

Active Publication Date: 2017-08-18
FUZHOU UNIV
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AI Technical Summary

Problems solved by technology

But using indirect methods at low densities is unnecessarily complex and costly compared to direct methods
[0007] It can be seen that the direct method and the indirect method are suitable for low density and high density respectively, but are less effective at the other density

Method used

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Embodiment Construction

[0053] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0054] An adaptive crowd counting method of the present invention comprises the following steps,

[0055] S1. Using a pedestrian detector to perform pedestrian detection on the video frames of the input video frame sequence to obtain a detection candidate frame;

[0056]S2. Preprocessing the obtained detection candidate frames, obtaining feature points, and extracting the space, time and color features of each preprocessed detection candidate frame;

[0057] S3. According to the space, time and color features of the detection candidate frames, the detection candidate frames are clustered to obtain the crowd cluster area;

[0058] S4. Using a crowd counting method based on corner points to perform a preliminary count of crowds in each crowd cluster area;

[0059] S5, performing density estimation through the relationship between the coun...

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Abstract

The present invention relates to an adaptive population counting method. An accumulation integration feature pedestrian detector is employed to perform pedestrian detection to obtain lots of detection candidate frames, the obtained candidate frames are subjected to preprocessing, the space, the time and the color feature of each candidate frame after preprocessing is extracted; based on the features, the Dirichlet mixture model and the Gibbs sampling theory are employed to perform clustering of the candidate frames; through the mode, population block mass areas are obtained; the population counting method based on angular points is employed to perform population preliminary counting of each population block mass area; and through the relation of the counting result and the feature points, the adaptive population counting method determines the population density, and aiming at different densities, different data fusion methods are selected to improve the accuracy of the counting result. The adaptive population counting method improves stability and accuracy of population counting detection.

Description

technical field [0001] The invention belongs to the fields of computer vision and digital image processing, and in particular relates to an adaptive crowd counting method. Background technique [0002] With the development of society and the advancement of technology, intelligent video surveillance technology plays a vital role in more and more fields, and crowd counting is a vital part of intelligent video surveillance. The so-called crowd counting is through reading Take a picture or video frame to get how many people there are in the current frame or picture. [0003] The current crowd counting methods are mainly divided into two categories: direct method and indirect method. [0004] The direct method is also called a detection-based method. It mainly uses different detection models to segment individual pedestrian detection to achieve crowd counting. When the density is low, the pedestrian detection model based on the human body is mainly used; when the density is med...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/53G06F18/232
Inventor 黄立勤黄炜
Owner FUZHOU UNIV
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