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Cross-camera pedestrian target matching method based on visuospatial saliency constraints

A pedestrian target and remarkable technology, applied in the direction of computer parts, instruments, character and pattern recognition, etc., can solve the problems of unreasonable utilization, neglect of pedestrian body space constraints, etc.

Active Publication Date: 2017-12-05
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Another common problem in existing cross-camera pedestrian object matching methods is that pedestrian body space constraints are often ignored or underutilized

Method used

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  • Cross-camera pedestrian target matching method based on visuospatial saliency constraints
  • Cross-camera pedestrian target matching method based on visuospatial saliency constraints
  • Cross-camera pedestrian target matching method based on visuospatial saliency constraints

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Embodiment

[0068] In this embodiment, a designated pedestrian is selected as a target in a certain surveillance video sequence, and a suspicious pedestrian object most similar to the pedestrian target is found in another surveillance video sequence to complete cross-camera pedestrian target matching. , the method includes the following steps:

[0069] Step 1: Select a specified pedestrian from a surveillance video sequence as the target to be matched, track and collect the pedestrian in the current video, collect 5 target template images of the pedestrian during the tracking process, and use the pedestrian target template image Construct a set of voters, define the set of voters as Where N is the number of pictures in the voter collection, in this embodiment N=5, x i Represents a pedestrian template image. The set of suspicious pedestrian target pictures in another surveillance video sequence in the monitoring network is used as the searcher input one by one, and the searcher set is d...

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Abstract

The invention discloses a cross-camera pedestrian target matching method based on visual-spatial saliency constraints, specifically a saliency learning through visual and spatial constraints between pedestrian images, and cross-camera pedestrian target matching based on saliency learning results In the matching method, firstly, foreground extraction and over-segmentation are performed on the pedestrian target template image to obtain a pedestrian target sub-region set, and then the visual hypergraph and spatial hypergraph are respectively constructed on the sub-region set by using the visual correlation and spatial correlation between the regions. Graph, followed by hypergraph joint ranking to obtain visuospatial saliency scores for each region, and finally cross-camera pedestrian object matching results are obtained by performing salient region matching on template images and suspicious object images. The invention has the advantages of no need for training in advance, high accuracy, and easy implementation, and provides an effective method for cross-camera pedestrian matching in actual scenes.

Description

technical field [0001] The invention relates to a method in the technical field of video image processing, in particular to a cross-camera pedestrian target matching method based on visual-spatial saliency constraints. Background technique [0002] In most surveillance video networks, when the pedestrian target moves out of the current video, there is no way to simply use the topological relationship of the camera position to accurately locate the camera the target moved into and the time the target appeared on the camera. It becomes indispensable in the intelligent monitoring system. Cross-camera pedestrian target matching is a very challenging problem, because there are differences in parameters and lighting between different cameras, and the same object will have pose changes and occlusions under different camera perspectives. [0003] After searching the existing technical literature, it is found that the research on cross-camera pedestrian object matching mainly focuse...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/462G06F18/22
Inventor 于慧敏谢奕郑伟伟
Owner ZHEJIANG UNIV