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A multi-modal target tracking method and device

A target tracking and multi-modal technology, applied in the field of target tracking, can solve the problem of low target tracking success rate and achieve the effect of improving accuracy

Inactive Publication Date: 2021-10-01
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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  • A multi-modal target tracking method and device
  • A 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 provides a detailed implementation manner and a specific operation process, 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, the embodiments of the present invention provide a multimodal target tracking method and device. The following first introduces the multimodal target tracking method provided by the embodiments of the present invention.

[0081] figure 1 A schematic flowchart of the first multi-modal target tracking method provided by the embodiment of the present invention, such as figure 1 As shown, the method includes:

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

[0083] Exemplarily, a video camera or other sh...

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Abstract

The invention discloses a multi-modal target tracking method and device. The method includes: acquiring the first video frame included in the video; acquiring the sparse coding dictionary of the target to be tracked according to the first sampling parameter; and acquiring the sparse coding dictionary of the target to be tracked according to the second sampling parameter. An observation set of candidate particles; according to the first weights of the first partial image blocks in each mode of the candidate particles, the difference of the first weights of each first partial image block in different modes is obtained; according to the difference , construct a sparse representation model of the observation set; iterate the sparse representation model to obtain the second sparse reconstruction coefficient, the second modality weight and the second weight of the first local image block; according to the above three values, using the joint observation like The likelihood calculation function calculates the joint observation likelihood value of each candidate particle; the candidate particle with the largest joint observation likelihood value is taken as the tracking result of the target to be tracked. By applying the embodiments of the present invention, the target tracking precision and target tracking accuracy rate can be improved.

Description

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

Claims

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Application Information

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