Spatial-temporal constraint-based target re-identification method

A re-identification and time-constrained technology, applied in character and pattern recognition, instruments, computing, etc., can solve the problems of target re-identification without probability model, useless probability model, etc.

Inactive Publication Date: 2016-09-07
WUHAN UNIV
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Problems solved by technology

Three of the 4 patents involving the concept of space-time constraints did not involve the application of the concept of space-time to target re-identification. Carry out target recognition, but the spatial constraints and vehicle features in this patent are updated through each other, and finally the recognition is compl

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  • Spatial-temporal constraint-based target re-identification method
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  • Spatial-temporal constraint-based target re-identification method

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Embodiment Construction

[0043] In order to facilitate those skilled 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. 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 the present invention.

[0044] Based on two phenomena under the monitoring network: "cross-camera time constraints" and "multi-camera position correlation", the present invention proposes to fuse cross-camera time information with visual information, and assist visual features in the form of joint probability to determine whether they are the same target probability. First, based on the visual information of the target, the preliminary sorting result based on the probability of visual information is obtained, and then based on the fact that a target that appears under a certain camera cannot appear und...

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Abstract

The invention discloses a spatial-temporal constraint-based target re-identification method. The method includes the following steps that: a visual information probability-based preliminary ranking result is obtained based on the visual information of a target; based on a situation that the target which appears in one camera is impossible to appear in another camera, a Hinge loss function is utilized to construct a filter model to narrow a scope to be inquired; an inter-camera time probability model is realized through Wiebull distribution; inter-camera time preliminary probability is represented by the time interval probability of the target and a query target set, and therefore, an inter-camera time information and visual feature-based intermediate ranking result can be obtained based on the fusion of the inter-camera time probability model and visual information probability; and a target re-identification ranking result can be further optimized based on a situation that the probability of the same target appearing in two cameras which are close to each other spatially is larger than the probability of the target appearing in two cameras which are remote to each other spatially. With the method of the invention adopted, a target re-identification effect can be greatly promoted.

Description

technical field [0001] The invention belongs to the technical field of surveillance video retrieval, and relates to a target re-identification method, in particular to a target re-identification method based on time-space constraints. Background technique [0002] In actual video reconnaissance, investigators need to quickly troubleshoot, track and lock suspected targets based on the moving pictures and trajectories of designated objects under multiple cameras. The traditional video investigation mode based on manual browsing requires a lot of manpower and time, is inefficient, and easily delays the time to solve the case. Target re-recognition is a surveillance video automatic retrieval technology for specific objects, that is, matching the same target object that appears at different times under the camera. It is convenient for video investigators to quickly and accurately discover the activity pictures and trajectories of suspected targets, which is of great significance...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/30
Inventor 胡瑞敏黄文心梁超王正杨洋陈军廖家鸿
Owner WUHAN UNIV
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