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Visual saliency and multiple characteristics-based pedestrian re-recognition method

A pedestrian re-identification and multi-feature technology, applied in the field of image processing, can solve the problems of low pedestrian re-identification accuracy, pedestrian targets are easily affected by illumination, viewing angle, and posture changes, and achieve the effect of improving accuracy

Active Publication Date: 2015-11-04
江苏睿世力科技有限公司
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AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is: pedestrian targets in the monitoring network are easily affected by illumination, viewing angle, and posture changes, resulting in low pedestrian re-identification accuracy

Method used

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  • Visual saliency and multiple characteristics-based pedestrian re-recognition method

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Embodiment Construction

[0019] Relevant detailed content and technology of the present invention, hereby cooperate drawing description as follows:

[0020] The implementation schematic diagram of the present invention is as figure 1 As shown, the specific steps are as follows:

[0021] (1) Detect pedestrians in the video, use the visual saliency model to preprocess the detected pedestrian result frame, and segment the complete pedestrian target;

[0022] In step (1), the saliency map M of the pedestrian area is obtained and the target segmentation is performed, and the specific process includes:

[0023] Calculate the original grayscale image M of the region of interest 0 and binary map M 1 , combining the two to generate a continuous and smooth weakly saliency map M w ,Calculated as follows:

[0024] M w = M 0 + M 1 ...

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Abstract

The invention discloses a visual saliency and multiple characteristics-based pedestrian re-recognition method. The method comprises: quickly detecting a pedestrian target in a video; partitioning a pedestrian region by virtue of a saliency detection algorithm and extracting a spatial histogram of a target region; partitioning a human body into three parts: a head, a trunk and legs by virtue of a SCA method and extracting color, position, shape and texture characteristics of the trunk and the legs; calculating the similarity of the spatial histogram by adopting an improved JSD similarity measurement criterion for primary recognition of the target; and calculating the similarity of a regional characteristic set by virtue of a Gaussian function to obtain a final recognition result. The method provided by the invention can be used for realizing long-term tracking and monitoring of special pedestrians in a multi-camera network in different background environments and under different camera settings. The method is used for realizing intelligentized processing of monitoring vidoes and immediately responding to unusual conditions in the videos, and moreover, a lot of manpower and material resources can be saved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to computer vision and pattern recognition methods, in particular to a method for realizing pedestrian re-identification. Background technique [0002] With the advent of the era of the Internet of Things, the country vigorously advocates the construction of smart cities, and topics based on video analysis such as intelligent security and intelligent transportation are continuously proposed, and more and more attention is paid to the intelligent analysis of acquired surveillance videos. For most monitoring systems, the people appearing in the monitoring video are the important objects of attention, so the intelligent monitoring system needs to have the ability to detect, identify and track them, so as to further analyze the behavior of pedestrian targets, pedestrians Re-identification technology is one of its core steps. The so-called pedestrian re-identification is to re-id...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/53
Inventor 仇春春李庆武周亮基程海粟
Owner 江苏睿世力科技有限公司
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