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Real-time multi-class and multi-target tracking method of video

A multi-target tracking and video technology, applied in image analysis, image enhancement, instruments, etc., can solve problems such as limited application range, increased hardware cost, and insufficient real-time performance, and achieve the goal of reducing algorithm complexity and matching range Effect

Inactive Publication Date: 2016-11-16
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

However, today's visual tracking algorithms are mainly aimed at single-target or similar multi-target tracking, which greatly limits the scope of application and does not conform to the actual situation.
If you want to realize the practical application of residential intrusion detection, you need multiple cameras to work at the same time, which will not only increase the hardware cost, but also the real-time performance is not good enough

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  • Real-time multi-class and multi-target tracking method of video
  • Real-time multi-class and multi-target tracking method of video
  • Real-time multi-class and multi-target tracking method of video

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Embodiment Construction

[0043] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0044] combine figure 1 As shown, a real-time video multi-class multi-target tracking method includes the following steps:

[0045] s1, video preprocessing, using the SLIC superpixel segmentation method based on the k-means clustering method to preprocess the video frame, combined with figure 2 As shown, the specific steps include:

[0046] s11. Initialize the clustering center and determine the number of superpixels to be generated. Assuming that there are N pixels in the image, the size of the superpixel is N / K, and the distance between the clustering centers is The resulting superpixel size is approximately S 2 . Let the cluster center of the superpixel be C k =[l k , a k , b k, x k ,y k ] T , where k ranges from 1 to K. In order to prevent the noise from becoming the cluster center and causing interference to the subsequent clu...

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Abstract

The invention belongs to the field of computer graphics and image processing, and specifically discloses a real-time multi-class and multi-target tracking method of a video. The tracking method comprises the following steps: s1: carrying out video frame preprocessing, such as superpixel segmentation; s2: on the basis of a superpixel block, designing a target detector, carrying out off-line training, and fully utilizing movement features so as to detect all moving targets in the video; s3: utilizing the trained detector to carry out target detection on a given video; s4: designing a target tracking model, and tracking the targets in the video; and s5: carrying out trajectory visualization. The tracking method has the following beneficial effects: 1: the complexity and the time consumption of an algorithm are greatly lowered since the video is subjected to the target detection on the basis of the superpixel block; and 2: all multiple classes of moving targets in the video can be detected, so that the tracking of all moving objects in the video can be realized under a situation of one camera, and therefore, hardware cost is greatly lowered.

Description

technical field [0001] The invention belongs to the field of computer graphics and image processing, and relates to a real-time video multi-class and multi-target tracking method. Background technique [0002] Moving targets are widely used in military guidance, visual navigation, robotics, intelligent transportation, public safety and other fields. For example, in the vehicle violation capture system, vehicle tracking is essential; in the community intrusion detection system, the detection and tracking of large moving objects such as people, vehicles, and animals is also the key to the entire system. However, today's visual tracking algorithms are mainly aimed at single-target or similar multi-target tracking, which greatly limits the scope of application and does not conform to the actual situation. If you want to realize the practical application of residential intrusion detection, you need multiple cameras to work at the same time, which will not only increase the hardw...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
CPCG06T2207/10016G06T2207/20081
Inventor 刘玉杰窦长红
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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