Crowd density estimation system and method under multi-camera condition

A crowd density and multi-camera technology, applied in the field of crowd density estimation system, can solve problems that do not fully conform to the understanding of the human world

Active Publication Date: 2019-12-06
BEIHANG UNIV +1
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Problems solved by technology

[0005] In addition, most of the current applications of computer vision use various operators to extract visual feature information in images. Although this process can effectively describe the characteristics of image data, it does not fully comply with human perception of the world. The way of understanding, how to effectively use the existing research results in the fi

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  • Crowd density estimation system and method under multi-camera condition

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Embodiment Construction

[0040] The specific implementation of the system of the present invention will be further described below in conjunction with the accompanying drawings.

[0041] exist figure 1 In the overall system structure diagram of the present invention, the system is mainly divided into four modules, namely: a wide scene image acquisition module, a salient area detection module, a face feature detection module, and a crowd density estimation module.

[0042] Such as figure 1 As shown, firstly, the environment information around the target scene is obtained through multiple cameras, and the images acquired by multiple cameras are stitched into a panoramic image by using the image stitching technology, which includes image stitching and color rendering operations. For the acquired panoramic image information, it is passed to the salient area extraction module based on saliency detection, and the salient area where the crowd is located is obtained through the strategy algorithm based on gl...

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Abstract

The invention relates to a crowd density estimation system and method under a multi-camera condition. The system comprises a multi-camera wide-view-field scene image acquisition module, a saliency region extraction module based on saliency detection, a face feature detection module for a saliency region and a saliency region crowd density estimation module based on a long-time and short-time deeplearning neural network. The system is mainly used for carding and analyzing macroscopic features such as crowd density features of scene crowds and estimating density features of dense crowds. A usercan analyze and obtain a key area where a crowd is located according to a wide-view-field image obtained under the condition of multiple cameras, and feature information such as crowd density is obtained through analysis from the key area.

Description

technical field [0001] The present invention relates to a crowd density estimation system and method under multi-camera conditions, specifically a crowd density estimation and early warning system and method in a wide field of view panoramic monitoring mode for special alarm warning, which belongs to monitoring and early warning security field. Background technique [0002] At present, the regional scene data information collected by panoramic vision is mainly used to extract visual features to complete the tasks of target recognition, fast tracking, and autonomous positioning. However, the method of using panoramic images for face recognition and crowd density monitoring has not been put into practical use, and the advantages of panoramic images with wide field of view and large viewing angle have not been well utilized. [0003] For feature extraction in panoramic images, it can be mainly divided into two categories, global visual features and local visual features. The ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/20G06K9/46G06K9/62G06T3/40
CPCG06T3/4038G06T2207/30196G06T2200/32G06V40/161G06V40/168G06V40/172G06V20/53G06V10/22G06V10/462G06F18/22
Inventor 盛浩崔正龙杨达许雯晖王思哲
Owner BEIHANG UNIV
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