Crowd semantic segmentation method and system

A technology of semantic segmentation and crowd, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve problems such as the inability to quickly respond to crowd changes, and the inability to apply real-time behavior analysis.

Active Publication Date: 2016-11-02
SHANGHAI JIAO TONG UNIV
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method based on the probability model is mainly used for long-term behavior statistical analysis, b

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Crowd semantic segmentation method and system
  • Crowd semantic segmentation method and system
  • Crowd semantic segmentation method and system

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention provides a crowd semantic segmentation method and a crowd semantic segmentation system and belongs to the computer video processing technical field. The crowd semantic segmentation method includes the following steps that: time-domain motion group segmentation is carried out on images according to motion consistency, and space-domain distribution group segmentation is carried out on the images according to distribution uniformity; time-domain and space-domain segmentation result-integrated joint semantic group segmentation is carried out; and semantic consistency-based group state description is carried out. According to the crowd semantic segmentation method and system of the invention, the motion consistency and distribution uniformity of crowds are considered comprehensively in a crowd segmentation process, so that groups obtained after segmentation have stable states in the time domain and the space domain, and the states of the groups can be well described, wherein the states of the groups include motion patterns and density grades.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00
CPCG06V20/53G06V20/41
Inventor 杨华李集佳吴双朱继
Owner SHANGHAI JIAO TONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap