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Method and system for crowd semantic segmentation

A semantic segmentation and crowd technology, applied in the direction of instruments, calculations, characters and pattern recognition, etc., can solve problems such as inability to respond quickly to crowd changes, inapplicable real-time behavior analysis, etc., to achieve high efficiency and flexibility

Active Publication Date: 2019-08-09
SHANGHAI JIAOTONG UNIV
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Problems solved by technology

The method based on the probability model is mainly used for long-term behavior statistical analysis, but not suitable for real-time behavior analysis, and cannot respond quickly to changes in the population

Method used

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  • Method and system for crowd semantic segmentation
  • Method and system for crowd semantic segmentation
  • Method and system for crowd semantic segmentation

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Embodiment Construction

[0063] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0064] Such as figure 1 Shown is the overall flow of the crowd semantic segmentation method. This method firstly calculates temporal motion segmentation and spatial distribution segmentation respectively according to motion consistency and distribution homogeneity; secondly, combines the segmentation results of the two to obtain joint semantic segmentation of the crowd; finally describes the group's Status, including exercise mode and density level.

[0065] The following provides a specific imp...

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Abstract

The present invention provides a crowd semantic segmentation method and system in the technical field of computer video processing. The steps are: for images, segmentation of time-domain motion groups based on motion consistency, and spatial distribution group segmentation based on distribution homogeneity; comprehensive Joint Semantic Group Segmentation of Temporal and Spatial Segmentation Results; Semantically Consistent Based Group State Description. In the process of crowd segmentation, the present invention comprehensively considers the movement consistency and distribution homogeneity of the crowd, so that the divided groups have a stable state in the space-time domain, and at the same time can better describe the state of each group, including the movement mode and density levels.

Description

technical field [0001] The invention belongs to the technical field of computer video processing, and specifically relates to a crowd semantic segmentation method and system for segmenting crowds with different motion and distribution states in a video into groups with stable and descriptive states. Background technique [0002] With the increase of large-scale activities, large-scale crowds gather frequently, and crowd scenes and behaviors become increasingly complex. Therefore, crowd intelligent analysis plays a particularly prominent role in video surveillance and crowd management. Crowd analysis methods for video surveillance are used in computer vision. field is receiving extensive attention. However, in complex scenarios, using a single model and indiscriminate calculations for the entire crowd is prone to large misjudgments, while crowd segmentation divides the crowd into groups of different natures and states, providing more detailed crowd description and behavior an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V20/53G06V20/41
Inventor 杨华李集佳吴双朱继
Owner SHANGHAI JIAOTONG UNIV
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