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Method for realizing pedestrian re-identification system

A pedestrian re-identification and implementation method technology, applied in the field of pedestrian re-identification system, can solve the problem of low efficiency of manual retrieval of surveillance video, and achieve the effect of excellent training effect

Active Publication Date: 2018-09-28
XIAMEN UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to provide a method for implementing a pedestrian re-identification system under surveillance video based on the combination of depth features and manual features to solve the problems of low efficiency of manual retrieval of surveillance videos.

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  • Method for realizing pedestrian re-identification system
  • Method for realizing pedestrian re-identification system
  • Method for realizing pedestrian re-identification system

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Embodiment Construction

[0054] The following embodiments will describe the present invention in detail with reference to the accompanying drawings.

[0055] The pedestrian re-identification system is divided into two parts: offline modeling and online retrieval. The system framework is as follows: figure 1 shown. In the offline modeling part, pedestrian detection and feature extraction of surveillance video are realized. Real-time offline modeling of ever-increasing surveillance videos in the real environment, that is, continuous construction of information models of pedestrians in surveillance videos. The information corresponding to each pedestrian includes the position where the pedestrian appears in the video, the pedestrian's manual features and depth features. During online retrieval, after feature extraction is performed on the retrieved pedestrian pictures, the features are compared with the pedestrian pictures in the offline model, and the pedestrian pictures in the model are displayed in ...

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Abstract

The invention, which relates to the pedestrian re-identification technology, provides a method for realizing a pedestrian re-identification system. The method comprises: step one, offline modeling iscarried out on a monitoring video; to be specific, g pedestrian detection and pedestrian feature extraction are carried out; and step two, online retrieving is carried out; to be specific, when onlineretrieving is carried out, two kinds of sorting is carried out; pedestrians in each video are sorted based on similarities with a retrieving target, and then a possibility value of containing a retrieving target is calculated for each retrieving video, and the videos are sorted. A method combining deep features with manual features is employed in practical application. Deep feature learning is carried out by using a network structure with fusion of two kinds of loss functions including a classification loss function and a ternary-set loss function; and because of the fusion of the two kinds of loss functions, tag information of a data set and similarity information of an image pair are utilized fully, so that effective distinguished pedestrian features are obtained under the condition ofthe small data set. With the improved ternary-set loss function, the training effect is optimized.

Description

technical field [0001] The invention relates to pedestrian re-identification technology, in particular to an implementation method of a pedestrian re-identification system under surveillance video based on the combination of depth features and manual features. Background technique [0002] In recent years, with the development of the Internet and information technology, surveillance video has been used in many public places such as supermarkets, subways, and shopping malls, and has become an important tool for maintaining public safety and assisting public security departments in solving cases. When a case occurs and the suspect is locked, it can be tracked by viewing the surveillance video. At present, the location of suspected targets mainly adopts the method of manual investigation, that is, the investigators need to check the videos one by one to determine whether the suspected target is included. Due to the large number of surveillance videos, this method not only consu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06F17/30
CPCG06V40/103G06F18/22G06F18/25G06F18/24G06F18/214
Inventor 纪荣嵘林贤明孙研
Owner XIAMEN UNIV
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