Cross-checkpost pedestrian identification system and method based on dynamic obvious feature selection

A pedestrian recognition, significant technology, applied in the field of pedestrian recognition, can solve the problem of unreliable pedestrian recognition and achieve the effect of improving robustness

Active Publication Date: 2015-12-23
GUILIN UNIV OF ELECTRONIC TECH
View PDF8 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a cross-checkpoint pedestrian recognition system and method based on dynamic selection of significant features, which solves the problem that a single feature is unrelia

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
  • Cross-checkpost pedestrian identification system and method based on dynamic obvious feature selection
  • Cross-checkpost pedestrian identification system and method based on dynamic obvious feature selection
  • Cross-checkpost pedestrian identification system and method based on dynamic obvious feature selection

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0067] The principles and features of the present invention will be described below with reference to the accompanying drawings. The examples cited are only used to explain the present invention, and are not used to limit the scope of the present invention.

[0068] Such as figure 1 As shown, a cross-bayonet pedestrian recognition system based on dynamically selecting salient features includes an urban bayonet video acquisition module 1, a pedestrian detection and tracking module 2, a multi-feature extraction module 3, a feature mining module 4, and a salient feature selection module 5. And pedestrian recognition module 6,

[0069] The urban bayonet video acquisition module 1 is used to collect various video images from various urban bayonet monitoring devices 7;

[0070] The pedestrian detection and tracking module 2 is used to obtain multiple continuous pictures from the collected video images, detect whether there is a target pedestrian in the continuous pictures, and if there are...

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 relates to a cross-checkpost pedestrian identification system and method based on dynamic obvious feature selection. The system comprises a city checkpost video acquisition module, a pedestrian detection and tracking module, a multi-feature extraction module, a feature excavation module, an obvious feature selection module and a pedestrian identification module. The invention also relates to a cross-checkpost pedestrian identification method based on dynamic obvious feature selection. The beneficial effects of the system and method are that feature information can be selected dynamically; the system does not use the mode of directly fusing multiple features, but uses the mode of fusing the multiple features, which have the highest pedestrian identification discrimination, found by carrying out feature uniqueness degree analysis and processing on various feature information, and thus the problem of unreliable identification of pedestrians by utilizing a single feature is solved; and through the system, redundancy feature information of pedestrian identification is removed, and the features having the highest pedestrian identification discrimination are found, and thus robustness of pedestrian identification is improved.

Description

technical field [0001] The invention relates to the technical field of pedestrian recognition in intelligent traffic monitoring, in particular to a cross-checkpoint pedestrian recognition system and method based on dynamic selection of salient features. Background technique [0002] With the launch of the safe city strategy, a large number of network surveillance cameras have been installed on various traffic arteries. When an incident occurs, staff are required to search for suspicious target pedestrians from a large number of surveillance video images. Faced with massive surveillance videos, the staff will inevitably feel boring. If the staff stares at the monitoring screen of the screen for too long, it will inevitably cause eye fatigue, and the experience or interest of each staff member will lead to inconsistency in results, which will eventually make it difficult to track suspicious pedestrian targets. [0003] Cross-checkpoint pedestrian recognition refers to pedest...

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): H04N7/18G06K9/00G06K9/46
Inventor 蔡晓东杨超王迪吕璐赵秦鲁宋宗涛甘凯今王丽娟陈超村刘馨婷
Owner GUILIN UNIV OF ELECTRONIC TECH
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