Road vehicle tracking method

A technology for road vehicles and targets, applied to instruments, character and pattern recognition, computer components, etc., can solve problems such as trajectory mutual exclusion, target occlusion, appearance similarity false detection, etc.

Active Publication Date: 2019-02-15
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in the face of the complex traffic environment in the city, the above methods still have certain deficiencies in ...

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Embodiment

[0130] In order to further illustrate the tracking processing performance of the present invention, the tracking performance of the tracking method of the present invention and the existing MDP tracking algorithm are compared for two scenarios (mutually occluded scenes and scenes with similar target appearances). Figure 5 As shown in the figure, when there are complex road conditions such as occlusion and similar appearance of the target, the improved tracking method of the present invention can still effectively track the target, which is greatly improved compared with the existing tracking algorithm, that is, The performance of the present invention is obviously better than the existing MDP tracking algorithm.

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Abstract

The invention discloses a road vehicle tracking method, belonging to the technical field of computational vision processing. As that image between frame of the binocular camera is more than that of asingle purpose, the invention proposes a multi-angle optical flow characteristic with strong description ability to replace the original multi-surface optical flow characteristic, effectively solves the technical problems of wrong heel, drift and the like when vehicles with similar appearance and close distance are occluded from each other.

Description

technical field [0001] The invention belongs to the field of image processing and computer vision, in particular to a multi-target tracking method based on image information. Background technique [0002] With the vigorous development of artificial intelligence technology, smart cars with (Advanced Driver Assistance System, ADAS) and driverless technology as the core have become the development direction of future cars. As one of its key technologies, multi-target tracking and detection has always been It is a research hotspot in this field. [0003] Most of the current multi-target tracking, the processing objects are concentrated in RGB images, and the Tracking By Detection framework is adopted, that is, the multi-target tracking task is jointly realized by the detection and tracking modules. According to the data range used in the processing, we can divide the multi-target tracking algorithm into online tracking (Online Tracking) and offline tracking (Offline Tracking). ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/584
Inventor 王正宁吕侠张翔周阳曾凡伟赵德明
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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