Multi-modal target tracking method and device

A target tracking, multi-modal technology, applied in the field of target tracking, can solve the problem of low success rate of target tracking

Inactive Publication Date: 2018-09-04
ANHUI UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a multi-modal target tracking method and device to solve the technical problem in the prior art that the success rate of target tracking is not high

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  • Multi-modal target tracking method and device

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Embodiment Construction

[0079] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0080] In order to solve the problems in the prior art, an embodiment of the present invention provides a multi-modal target tracking method and device. The following firstly introduces the multi-modal target tracking method provided by the embodiment of the present invention.

[0081] figure 1 A schematic flow chart of the first multimodal target tracking method provided by the embodiment of the present invention, as shown in figure 1 As shown, the method includes:

[0082] S101: Acquire a first video frame corresponding to a target to be tracked contained in a video.

[0083] Exemplarily, a video camera or oth...

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Abstract

The invention discloses a multi-modal target tracking method and device. The method includes a step of acquiring a first video frame included in a video, a step of acquiring a sparse coding dictionaryof a target to be tracked according to a first sampling parameter, a step of acquiring an observation set of candidate particles according to a second sampling parameter, a step of obtaining a difference of a first weight of each of first partial image blocks in different modes according to the first weights of first local image blocks of the candidate particles in each mode, a step of constructing a sparse representation model of the observation set according to the difference, a step of iterating the sparse representation model to obtain a second sparse reconstruction coefficient, a secondmodal weight and a second weight of the first local image block, a step of calculating a joint observation likelihood value of each candidate particle by using a joint observation likelihood value observation function according to the above three values, and a step of taking the candidate particle of a largest joint observation likelihood value as a tracking result of the target to be tracked. Byapplying the embodiment of the present invention, the target tracking accuracy and the accuracy of the target tracking can be improved.

Description

technical field [0001] The present invention relates to a target tracking method, and more particularly to a multi-modal target tracking method and device. Background technique [0002] With the wide application of video surveillance systems, how to realize the identification of people in video clips captured by camera equipment, and then perform target tracking is a technical problem that needs to be solved urgently. Target tracking refers to the process of locating, identifying and processing one or more targets of our interest through effective expression of the target in the continuous video frames captured by one or more cameras, and being able to track the target movement To analyze and predict the laws of the system, to achieve a more stable and continuous tracking of the target. A typical target tracking scenario is that after the target is specified by the user or automatically detected by the system, the target is tracked in the next image sequence. [0003] At p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/246
CPCG06T2207/10016G06T7/251
Inventor 刘苗王福田陈及鹿
Owner ANHUI UNIVERSITY
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