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Real-time on-line multi-target tracking method by coupling target detection and data association

A multi-target tracking and data association technology, applied in the field of real-time online multi-target tracking, can solve problems such as affecting tracking accuracy and inaccurate detection results, and achieve the effects of improving accuracy, improving performance, and alleviating inaccurate detection results.

Inactive Publication Date: 2016-06-15
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

Factors such as complex background in the scene, close interaction between targets, illumination changes, and frequent occlusions can easily cause inaccurate detection results, which in turn affect the accuracy of tracking.

Method used

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  • Real-time on-line multi-target tracking method by coupling target detection and data association
  • Real-time on-line multi-target tracking method by coupling target detection and data association
  • Real-time on-line multi-target tracking method by coupling target detection and data association

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Embodiment approach

[0030] The embodiments of the present invention will be described in detail below through specific examples, which are not intended to limit the protection scope of the present invention.

[0031] figure 2 It is a flow chart of the multi-target tracking method of the present invention. As shown in the figure, the multi-target tracking method of the present invention comprises the following steps:

[0032] According to step 1, the observation data is acquired: for each frame of image in the surveillance video, the observation data used by the multi-target tracking method of the present invention includes two parts. One part is the image data itself, and the other part is the intermediate result output by the object detector on this frame of image. It should be pointed out that the intermediate results output by the target detector generally contain a lot of redundancy and noise, and usually require post-processing through non-maximum suppression to obtain relatively accurate...

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Abstract

The invention provides an online multi-target tracking method for coupling target detection and data association, which is used for real-time tracking of multiple interested targets in video, and belongs to the technical fields of computer vision and video monitoring. Starting from the intermediate results provided by the target detector, the present invention implements target tracking and optimizes target detection results by introducing sequential trajectory priors, which can effectively alleviate the problem of inaccurate detection results of the target detector; the present invention adopts the method of maximum a posteriori estimation The probabilistic framework calculates the association cost between the target and the detection result, improves the accuracy of data association, and can effectively deal with the mutual interference between targets; the present invention establishes a close connection between target detection and data association, making both Become two mutually promoting processes, which improves the performance of multi-object tracking.

Description

technical field [0001] The invention relates to a real-time online multi-target tracking method coupling target detection and data association, which is used for quickly locating an interesting target in a video and recovering its motion trajectory in real time, belonging to the technical field of computer vision and video monitoring. Background technique [0002] Visual multi-target tracking is an important basic technology for many high-level visual tasks in the field of computer vision, such as scene understanding, event detection, behavior recognition, etc., and has a wide range of applications in video surveillance, human-computer interaction, assisted driving and other systems. The detection-based multi-target tracking method is one of the mainstream methods of visual multi-target tracking. The idea is to use the target detector to obtain the detection results in each frame of the video, and then use the data association method to associate the detection results into a ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
CPCG06T2207/10016G06T2207/30241
Inventor 贾云得杨敏裴明涛
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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