A method and system for counting crowds

A crowd counting and head counting technology, applied in the field of computer vision, can solve the problems of high training complexity, long training time, large amount of calculation, etc., and achieve the effect of efficient network structure

Active Publication Date: 2018-12-28
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0003] Aiming at the above defects or improvement needs of the prior art, the present invention provides a crowd counting method and system, thereby solving the problems of long training time, large amount of calculation, and high training complexity existing in the existing multi-column structure-based method. Technical issues with high and difficult training

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Embodiment Construction

[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0027] Such as figure 1 Shown is a schematic flow chart of a crowd counting method provided by an embodiment of the present invention, including the following steps:

[0028] (1) Make a sample set: For a given dataset with labeled information, where the dataset contains the coordinate information of the picture and the center position of each head, generate the corresponding data for each sampl...

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Abstract

The invention discloses a crowd counting method and a system based on a scale pyramid neural network, wherein the scale pyramid neural network structure is composed of VGG-16 as the basic skeleton, and multi-scale high-level features are extracted by embedding a scale pyramid module in the high-level. The scale pyramid module consists of four parallel cavities with different expansion ratios. Themethod comprises steps: inputting a picture to network, after a series of convolution, getting high-level features and transfering them to scale pyramid module, generating four kinds of feature maps,these four kinds of feature maps and the feature maps input to the module being in the 'channel' dimension series connection, transfering to the next convolution layer, and finally getting the densitymap through the convolution of 1*1. Compared with the prior art, the method of the invention has more efficient, more accurate and simpler network structure, and can apply modules for handling multi-scale problems to deep networks.

Description

technical field [0001] The invention belongs to the field of computer vision, and more specifically relates to a method and system for crowd counting or crowd density estimation. Background technique [0002] Crowd counting is an important research direction in the field of computer vision, and it has a wide range of applications in video surveillance, public safety, traffic monitoring, traffic monitoring, and scene understanding. A major difficulty of this task is the scale variation within and between scenes, that is, the multi-scale problem. At present, the methods for solving multi-scale problems are mainly divided into three categories: the first category is based on the multi-column structure method, which uses a multi-column structure, and sets different sizes for each column of convolution kernels to obtain different receptive fields to adapt to Human heads of different sizes. The second category is based on the image pyramid method, which scales the image into mul...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/10G06V20/53G06N3/045
Inventor 桑农陈新雅宾言锐高常鑫
Owner HUAZHONG UNIV OF SCI & TECH
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