Secondary optimization method for monitoring video pedestrian re-identification result based on space-time constraint

A pedestrian re-identification and monitoring video technology, applied in the field of video analysis, can solve the problems of increasing the workload of manual research and judgment, reducing the degree of automation of video analysis, etc., to achieve the effect of improving credibility, good promotion value, and reducing search space

Active Publication Date: 2016-03-09
ZHUHAI DAHENGQIN TECH DEV CO LTD
View PDF3 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This processing method not only increases the workload of manual research and judgment, and reduces the automation of video analysis, but also, due to differences in viewing angles and lighting, the appearance characteristics of pedestrians will change greatly, which may cause the provided results to be ranked higher than others. not necessarily more believable

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
  • Secondary optimization method for monitoring video pedestrian re-identification result based on space-time constraint

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0043]In fact, if the recognition results of each monitoring point on the traveling path are viewed as a whole, there should be a strong spatial-temporal dependence between them. For example, it is impossible for the same pedestrian to appear in different monitoring points that are physically far apart at the same time, and the time difference between pedestrians appearing in different monitoring points must also have a reasonable relationship with the distance between monitoring points and the pedestrian speed in common sense , the time when pedestrians appe...

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 discloses a secondary optimization method for a monitoring video pedestrian re-identification result based on space-time constraint, comprising the steps of: adopting a pedestrian re-identification algorithm based on human body appearance visual features to obtain an initial identification result; calculating a visual matching probability, a path matching probability and a joint probability of the visual matching probability and the path matching probability through time sequence parameters extracted from video frames; and selecting a pedestrian image under the path with the maximum joint probability as an output. The secondary optimization method of the present invention greatly improves credibility of a pedestrian re-identification result on the premise of not reducing a recall rate, and effectively overcomes the defect that a conventional pedestrian re-identification method based on visual features is sensitive to a monitoring environment.

Description

technical field [0001] The invention belongs to the technical field of video analysis, relates to surveillance video pedestrian re-identification analysis, and in particular to a secondary optimization method for the results of surveillance video pedestrian re-identification constrained by time and space. technical background [0002] In recent years, with the popularization of video surveillance systems, video surveillance systems are playing an increasingly important role in combating crime and maintaining stability. Video investigation has become a new method for public security organs to investigate and solve crimes. In video surveillance applications, the retrieval of specific suspects (especially people) is an important requirement. At present, this process is mainly completed manually, which consumes a lot of manpower, material resources and time, and affects the efficiency of solving cases. The core key problem of specific target surveillance video retrieval - pedes...

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): G06K9/00
CPCG06V20/42
Inventor 王中元胡瑞敏朱荣陈丹肖晶梁超
Owner ZHUHAI DAHENGQIN TECH DEV CO LTD
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