Crowd density monitoring method and device

A technology of crowd density and number of people, applied in the field of image processing, can solve problems such as inability to perform quantitative analysis

Inactive Publication Date: 2013-05-08
信帧机器人技术(北京)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method is highly subjective and cannot be used for quantitative analysis

Method used

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  • Crowd density monitoring method and device

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Experimental program
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Embodiment 1

[0047] Such as figure 1 Shown is a crowd density monitoring method described in this embodiment, including: monitoring the feature points of the source image, extracting the feature points of the current frame image; using the optical flow method to track the position of the extracted feature points, Obtain the tracked feature points in the next frame image; calculate the distance between the feature points of the current frame and the tracked feature points in the next frame image, and delete the feature points corresponding to the distance less than the preset first threshold; according to the statistics The number of feature points in the frame image and the actual number of people get the corresponding relationship between the number of feature points and the actual number of people, and the crowd density corresponding to the tracked feature points is obtained.

[0048]The crowd density monitoring method includes the following steps: first, the source image is monitored fo...

Embodiment 2

[0051] Such as figure 1 Shown is a kind of crowd density monitoring method described in this embodiment, comprising:

[0052] Step 101: Perform feature point monitoring on the source image, and extract feature points of the current frame image.

[0053] Such as figure 2 As shown, for feature point monitoring, the specific monitoring process is as follows:

[0054] Step A1: Convert the source image to a grayscale image and denoise;

[0055] Specifically, for a source image that needs to monitor crowd density, each frame of image in the source image is acquired. Since each frame image in the acquired source image is a uniform color image, it is necessary to convert the color image into a grayscale image, that is, convert each frame image in the source image into a grayscale image.

[0056] In addition, in the image processing process, due to image acquisition equipment or other reasons, the acquired image inevitably has noise, therefore, the noise in the image needs to be r...

Embodiment 3

[0116] Such as Figure 4 Shown is a crowd density monitoring device that implements the crowd density monitoring method of Embodiment 2 provided in this embodiment, and the device includes:

[0117] An image acquisition module 501, configured to acquire source images. The image collection module can use a camera to collect live video images.

[0118] The feature point monitoring module 502 is used to monitor the feature points of the collected source image and extract the feature points of the current frame image;

[0119] The feature point tracking module 503 is used to track the position of the extracted feature point to obtain the tracked feature point in the next frame image;

[0120] The feature point determination module 504 is used to calculate the distance between the feature point of the current frame and the feature point tracked in the image of the next frame, and delete the feature point corresponding to the distance less than the preset first threshold;

[0121...

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Abstract

The invention relates to the image processing field, in particular to a crowd density monitoring method and a device. The crowd density monitoring method comprises the following step: monitoring feature points of source images, and extracting the feature points of current frame images; tracking the positions of the feature points by taking advantage of an optical flow method, and acquiring the tracking feature points of the next frame image; calculating the distances from the current frame feature points to the next frame image feature points, and deleting the feature points which correspondent to a first threshold which the distances are smaller than the preset distances; so that the corresponding relationship between the quantities of feature points and the actual number of people are attained based on counting the quantities of feature points and the actual number of people, and the crowd density corresponding to the tracking feature points are attained. By using the crowd density monitoring method and the device, the crowd can be analyzed in a quantified mode, and the crowd density monitoring can be accomplished.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a crowd density monitoring method and device. Background technique [0002] Crowd density estimation refers to the use of digital image processing technology to monitor the crowd in a designated area, so as to obtain the quantified crowd density. judge. [0003] Traditional crowd monitoring is achieved by monitoring the crowd in a certain area by closed-circuit television. This monitoring method depends on the staff watching the closed-circuit TV all the time to know the approximate density of the current crowd, and it is impossible to count the number of the crowd and conduct quantitative analysis. Even modern digital webcams require human operators to make judgments about the density of crowds in images of a scene. This method is highly subjective and cannot be used for quantitative analysis. Contents of the invention [0004] The object of the present invention is to prov...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 王海峰刘忠轩
Owner 信帧机器人技术(北京)有限公司
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