Double-person interactive behavior recognizing and active role determining method

A behavioral and two-person technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of less active role recognition in interactive behavior recognition

Active Publication Date: 2014-06-04
CHINA JILIANG UNIV
View PDF1 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, traditional visual surveillance mainly studies pedestrian detection, event detection, face fingerp

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
  • Double-person interactive behavior recognizing and active role determining method
  • Double-person interactive behavior recognizing and active role determining method
  • Double-person interactive behavior recognizing and active role determining method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The present invention will be further described below in conjunction with accompanying drawing.

[0021] Such as figure 1 As shown, the method for two-person interactive behavior recognition and active role determination of the present invention includes the following steps:

[0022] The basic interaction behaviors of two people referred to in the present invention are six behaviors of approaching each other, walking, following, catching up, joining, and staying away from each other. Catch up with six interactive behaviors.

[0023] Step 1: Extract the motion trajectories of two people from the video

[0024](1) Pedestrian detection: For each frame of the video, an improved pedestrian detection algorithm based on the histogram of gradient orientation (HOG) feature is used for pedestrian detection. This method uses human body symmetry detection to screen pedestrian candidate areas, and then combines HOG features and The SVM classifier verifies the candidate regions. ...

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 invention provides a double-person interactive behavior recognizing and active role determining method. Interpersonal communication is essential in daily life, but undoubtedly some abnormal interactive behaviors cause many troubles, and an existing submitted interactive behavior recognizing scheme is overlong in the recognizing time and tedious in method and can not accurately judge dangerous cases. To solve the problems, the double-person interactive behavior recognizing and active role determining method includes the following steps that (1), by adopting an improved pedestrian detection algorithm based on characteristics of a gradient direction histogram (HOG), pedestrians are detected to obtain position information of the pedestrians on an image; (2), tracks of the pedestrians are extracted according to a multi-target tracking method;(3), the interactive behaviors such as meeting each other halfway, walking together, following, pursuing, joining, getting away from each other, encountering and walking together, encountering and pursuing, encountering and getting away, catching up and walking together, catching up and getting away and catching up and surpassing of double persons are recognized; (4) active roles in all the interactive behaviors of the double persons are determined.

Description

technical field [0001] The invention belongs to the aspects of interactive behavior recognition and role determination in video monitoring, in particular to the recognition of two-person interactive behavior and a novel method for determining active roles. Background technique [0002] With the continuous development of society, people's living standards are also constantly improving. Participating in some social activities will undoubtedly make people communicate more closely, but some abnormal interactive behaviors are often troublesome, such as robbery. Can reduce property loss. Therefore, the recognition of interactive behavior is an important part in the field of video surveillance. However, the traditional visual surveillance mainly studies pedestrian detection, event detection, face fingerprint recognition, and the recognition of interactive behavior, especially the recognition of active characters, is less. Determining the active role in the interactive behavior ca...

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): G06K9/00G06K9/62
Inventor 章东平孙敏陶玉婷李艳洁
Owner CHINA JILIANG 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