Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Behavior recognition method based on continuous frame images

A recognition method and continuous frame technology, applied in biometric recognition, character and pattern recognition, instruments, etc., to achieve the effect of reducing the amount of parameters and maintaining the accuracy

Active Publication Date: 2019-11-05
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF10 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, provide a behavior recognition method based on continuous frame images, and solve the defects of the existing recognition models and methods

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
  • Behavior recognition method based on continuous frame images
  • Behavior recognition method based on continuous frame images
  • Behavior recognition method based on continuous frame images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0031] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art wi...

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 discloses a behavior recognition method based on continuous frame images. The behavior recognition method comprises the following steps: utilizing a target detection algorithm YOLO to carry out regression on a BBOX frame of a pedestrian; cutting the regressed BBOX frame into a picture according to coordinates, adjusting the size of the picture, and storing the picture by adopting a list; and sending the pictures to a trained behavior recognition network to obtain a pedestrian recognition result. Aiming at the problem of insufficient expression ability caused by only using a target detection algorithm to detect pedestrians, the invention provides an identification method combining pedestrian detection with behavior identification. A behavior recognition network based on a 3D-RDBC module is provided, and the accuracy is basically unchanged while the parameter quantity is reduced.

Description

technical field [0001] The invention relates to a pedestrian behavior recognition method, in particular to a behavior recognition method based on continuous frame images. Background technique [0002] Road traffic accidents and the number of deaths due to traffic accidents remain high and keep increasing, and traffic accidents ruthlessly take away people's lives and property. Pedestrians are always in a weak position in traffic accidents and are very vulnerable to motor vehicles, and many accidents are caused by pedestrians crossing the road and drivers failing to take braking measures in time. Through pedestrian detection and behavior recognition and counting, the accident rate can be effectively reduced. [0003] Existing technologies use various target detection algorithms to detect pedestrians, including YOLO, SSD, etc.; or use behavior recognition networks for behavior recognition, but they are mostly used in monitoring scenarios, and rarely apply pedestrian detection ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/20G06V40/10G06N3/045G06F18/241Y02T10/40
Inventor 詹惠琴程洪刘源李曙光
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com