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Multi-target tracking repositioning method based on trajectory similarity measurement learning

A technology of multi-target tracking and similarity measurement, applied in the field of multi-target tracking and relocation based on trajectory similarity measurement learning, can solve problems such as difficulty in ensuring tracking correctness, tracking trajectory loss, matching error, etc., to achieve information and reliability. Guaranteed effect

Pending Publication Date: 2021-03-26
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

In multi-target tracking, due to overlapping and occlusion, the tracking track is often lost or matched incorrectly. Therefore, it is difficult to ensure the correctness of tracking simply by using the similarity between the frames before and after the track and the target.

Method used

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  • Multi-target tracking repositioning method based on trajectory similarity measurement learning
  • Multi-target tracking repositioning method based on trajectory similarity measurement learning
  • Multi-target tracking repositioning method based on trajectory similarity measurement learning

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Embodiment Construction

[0017] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

[0018] The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses.

[0019] Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the description.

[0020] In all examples shown and discussed herein, any specific values ​​should be construed as exemplary only, and not as limitations. Therefore, other instances of the exemplary embodiment may have dif...

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Abstract

The invention discloses a multi-target tracking repositioning method based on trajectory similarity measurement learning. The method comprises the steps: carrying out feature extraction on the whole collected multi-target trajectory and each frame, and obtaining a multi-target motion trajectory reflecting deep features; calculating the similarity among the multi-target movement tracks by utilizinga distance function; and performing measurement and trajectory clustering on the similarity between the multi-target motion trajectories to limit the distance between similar trajectory samples and increase the distance between different types of trajectory samples. By utilizing the method, the problems of target loss and error tracking caused by factors such as shielding and overlapping among multiple targets can be solved.

Description

technical field [0001] The present invention relates to the field of intelligent driving, and more specifically, relates to a multi-target tracking and relocation method based on trajectory similarity metric learning. Background technique [0002] The multi-target tracking scene changes are highly complex, and it is of great significance to achieve accurate target tracking. For example, in actual driving scenarios, there are often multiple vehicles driving at different locations at the same time. In order to effectively ensure the automatic driving and environmental understanding of the vehicle, it is first necessary to detect and track different vehicles ahead. In multi-target tracking, due to overlapping and occlusion, the tracking track is often lost or matched incorrectly. Therefore, it is difficult to ensure the correctness of tracking simply by using the similarity between the frames before and after the track and the target for matching. [0003] In the multi-target ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/246
CPCG06T7/246
Inventor 张锲石程俊任子良康宇航高向阳
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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