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Non-overlapping visual field multiple-camera human body target tracking method

A non-overlapping field of view, multi-camera technology, applied in image analysis, image data processing, closed-circuit television systems, etc., can solve problems that are not suitable for engineering applications, complex algorithms, difficult to implement, etc., to achieve strong real-time performance, simple algorithms, easy-to-achieve effects

Inactive Publication Date: 2009-12-30
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this method has complex algorithms and is not easy to implement, so it is not suitable for practical engineering applications

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  • Non-overlapping visual field multiple-camera human body target tracking method

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Embodiment Construction

[0024] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation methods and processes are given, but the protection scope of the present invention is not limited to the following embodiments.

[0025] In order to facilitate the understanding of the method proposed by the present invention, in this embodiment, the number of cameras in the non-overlapping field of view is selected as 4, and there are two pedestrians in the selected video, pedestrian A and pedestrian B pass successively, and pedestrian A passes through camera 1, In the field of view of cameras 2 and 4, pedestrian B passes through the fields of view of cameras 1, 3, and 4 in sequence.

[0026] figure 1 A schematic flow chart of the method of the present invention is provided. Such as figure 1 As shown...

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Abstract

The invention relates to a non-overlapping visual field multiple-camera human body target tracking method, in particular to a method for carrying out target matching and tracking in multi-camera videos of a non-overlapping visual field under the condition of known topological relation among multiple cameras, comprising the following steps: firstly, establishing a topological relation matrix among multiple cameras, then extracting a foreground image of a pedestrian target followed by selecting a tracking target in the visual range of a certain camera by a human-machine interaction interface, using a mixed Gaussian model to extract the appearance characteristics of the target, comprising colour histogram characteristic and UV colour characteristic, in the whole tracking process, adopting a tree structure to manage tracking task, using Bayesian model to estimate overall similarity, and searching for the optimal matching target according to the overall similarity. The invention has the advantages of high precision, simple algorithm, easy realization, strong instantaneity and the like, and can provide a new real-time and reliable method for multi-camera target recognition and tracking.

Description

technical field [0001] The present invention relates to a target tracking method in the field of multi-camera video surveillance, in particular to a method for matching and tracking human targets in multi-camera videos without overlapping fields of view when the topological relationship between the multi-cameras is known. method. It belongs to the technical field of video surveillance. Background technique [0002] With the rapid development of video surveillance technology, and the limited field of view of a single camera cannot meet the requirements of wide-area video surveillance, multi-camera target tracking without overlapping fields of view has become an effective way to solve the problem of wide-area video surveillance. The problem of multi-camera object tracking with no overlapping views is different from that of single-camera and multi-camera tracking with overlapping views. The research on single-camera object tracking mainly focuses on key issues such as backgro...

Claims

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Application Information

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IPC IPC(8): H04N7/18G06K9/46G06T7/20
Inventor 翁菲吕晓威李雄刘允才
Owner SHANGHAI JIAO TONG UNIV
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