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People counting method based on drill video stream

A people counting and video streaming technology, which is applied in the field of people counting and statistics based on out-of-office video streams, can solve the problems of inability to apply intelligent video surveillance systems, lack of intelligent statistical methods for people counting, etc., to improve the limitations and accuracy of application scenarios. The effect of high performance and broad application prospects

Inactive Publication Date: 2017-01-11
中防通用河北电信技术有限公司
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Problems solved by technology

However, in order to meet the demand for counting the number of people in the queuing scene, most of them use manual counting or team members to report the number. This method is greatly affected by human factors. Therefore, there is no effective intelligent statistical method for counting the number of people in the queuing scene. , cannot be applied to intelligent video surveillance system

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  • People counting method based on drill video stream
  • People counting method based on drill video stream
  • People counting method based on drill video stream

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Embodiment Construction

[0040] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0041] like figure 1 , figure 2 Shown, the present invention comprises the following steps:

[0042] Step 1. Collect sample images and preprocess them:

[0043] Obtain the video stream from the front-end camera; manually select a large number of pictures containing human heads as the positive samples of the training set, including front, side and back pictures; then select a large number of non-human pictures as the negative samples of the training set; The negative samples are grayscaled, and then the positive samples are normalized to 32*32 pixels;

[0044] Step 2, HOG feature extraction:

[0045] Use the HOG (Histogram of Oriented Gradient, histogram of directional gradient) feature to characterize and describe each normalized positive sample and negative sample to form a feature vector;

[0046] Step 3. Train cascaded strong...

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Abstract

The invention discloses a people counting method based on a drill video stream, and the method comprises the following steps: selecting a head image in the video stream as a training sample; marking the actual number of drill people in the video stream; extracting the HOG features of the training sample; obtaining a cascading strong classifier through training; carrying out the preprocessing of the video stream, and improving the impact from illumination and noise; carrying out the detection of a drill queue in the video stream after preprocessing through the obtained classifier, and estimating an approximate number of drill people; comparing the estimated number of people in a test video with the actual number of drill people for testing, and obtaining an estimation error rate of the test video. The method can carry out the precise counting of people in the scene video stream of the drill queue, can count the moving and stationary people on a playground, improves the application scene limitation of a conventional method of people counting based on the entrance and exit, facilitates the intelligent management of drill attendance, and is good in application prospect.

Description

technical field [0001] The invention relates to a statistical method, in particular to a method for counting the number of people based on an exercise video stream, and belongs to the technical field of intelligent monitoring. Background technique [0002] With the development of social economy and the continuous improvement of hardware level, video surveillance system is more and more widely used in people's life. Although the traditional video surveillance system can meet the monitoring requirements, it needs to understand and judge the video information artificially, and the degree of intelligence is not high. Therefore, people's requirements for intelligent video surveillance systems are becoming more and more urgent. [0003] The intelligent video surveillance system processes, analyzes and understands the information in the surveillance system through computer vision technology, and intelligently controls the surveillance system, which can effectively reduce human part...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/53G06F18/2411
Inventor 刘晓莉魏为
Owner 中防通用河北电信技术有限公司
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