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A long-term target tracking method based on space-time constraints

A target tracking and target technology, applied in the field of image processing and computer vision, can solve problems such as false detection and difficult normal tracking, and achieve the effects of avoiding false detection, preventing false tracking, and fast detection speed

Active Publication Date: 2022-07-01
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0005] In order to solve the problem of false detection when the interference object is similar to the tracked target in the existing technology, which makes it difficult to track normally, a long-term target tracking method based on space-time constraints is proposed to achieve the purpose of long-term tracking

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  • A long-term target tracking method based on space-time constraints
  • A long-term target tracking method based on space-time constraints
  • A long-term target tracking method based on space-time constraints

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Embodiment Construction

[0076] The present invention will be further described in detail below in conjunction with test examples and specific embodiments. However, it should not be construed that the scope of the above-mentioned subject matter of the present invention is limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.

[0077] Existing algorithms relocate the target by combining detection and tracking after occlusion occurs, but the relocation based on depth features will face false detection when there are interference objects on the image that are similar to the tracked target, making it difficult to continue tracking. Normally, this effect is difficult to avoid by augmenting the training dataset or iterative training. The invention achieves the purpose of long-term tracking by designing a method based on space-time constraints. On the one hand, the road area information provided by imag...

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Abstract

The invention discloses a long-term target tracking method based on space-time constraints, which is characterized by comprising the following steps: S100, according to the image segmentation network, extract the road area information of the captured image; S200, according to the road area information and template frame, through the target tracking network to obtain the target position information; S300 calculate the target's motion velocity vector according to the target's historical position information; S400 the road area information and the motion velocity vector as space-time constraints, track the target according to the space-time constraints, and obtain the constrained target position information. It avoids the occurrence of false detection, is more accurate, has faster detection speed, improves the robustness of the system, and achieves the purpose of long-term tracking.

Description

technical field [0001] The invention belongs to the field of image processing and computer vision, and is a long-term target tracking method based on space-time constraints. Background technique [0002] Visual object tracking is a fundamental problem in the fields of computer vision analysis, autonomous driving, and pose estimation, and is the automatic localization of specific objects in changing video sequences. The core problem of tracking is how to accurately and efficiently detect and locate targets in complex scenes with changes such as occlusion, out-of-view, deformation, and background clutter. [0003] Visual object tracking can be divided into short-term tracking and long-term tracking according to the length of the video sequence. In the early stage of research, target tracking mainly focused on short-term tracking algorithms, but because the targets in real life always face the problem of frequent occlusion, short-term tracking is difficult to apply to practica...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246G06V20/56G06V10/82G06V10/774G06N3/04
CPCG06T7/246G06T2207/20081G06T2207/20084G06V20/56G06N3/045
Inventor 王正宁赵德明何庆东蓝先迪曾浩刘怡君曾怡
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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