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A real-time video target tracking method based on local hash features

A target tracking and hashing technology, applied in image analysis, image enhancement, instruments, etc., can solve problems such as large amount of computation and complex features, and achieve the effect of robust tracking algorithm

Active Publication Date: 2018-11-13
安徽卓锐三维科技有限公司
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Problems solved by technology

[0009] Aiming at the disadvantages of the existing video target tracking technology that the features are relatively complex and the amount of calculation is large, the present invention proposes a video target tracking method based on perceptual hash features, and performs bit operation processing on the features to realize Fast and efficient video object tracking

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  • A real-time video target tracking method based on local hash features
  • A real-time video target tracking method based on local hash features
  • A real-time video target tracking method based on local hash features

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Embodiment Construction

[0076] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0077] The step process of the present invention is as figure 1 As shown, now take the test video David as an example to illustrate:

[0078] (1) Get the initial target frame

[0079] When reading the first frame of David's video, since the algorithm itself does not know what the target is to be tracked, it needs to provide an interactive interface to artificially set the target to be tracked...

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Abstract

The invention discloses a video target real-time tracking method based on sending Hash features. The method includes the steps of 1) reading a first frame of a video sequence to be tracked, 2) drawing a rectangular box properly enclosing a target in the image as a target box, 3) conducting gray-scale treatment for a video frame image, 4) extracting partial Hash features of the target box, computing the partial Hash features, 5) reading the next frame of the video and conducting gray-scale treatment for the video frame image as in step 3), 6) obtaining candidate boxes in the current frame at the same position of the target in the previous frame through an inverted pyramid candidate box searching method, 7) extracting partial Hash features of all candidate box as in the step 4), 8) calculating the similarity of all candidate boxes and the target box in the previous frame, selecting the candidate box with the highest similarity as a new target box, and repeating the step 5) to 7) until the end of the video.

Description

technical field [0001] The invention belongs to the field of video target tracking in image processing technology, and proposes a video target real-time tracking method based on local hash features. Background technique [0002] Video object tracking is a technique that continuously determines the relative position of objects in a video and roughly indicates the size of the object. [0003] Video target tracking technology involves the fields of computer vision processing, image sequence processing, pattern recognition and artificial intelligence, and its application is extremely extensive, such as monitoring in commercial shopping malls, hotels, and residential areas; public utilities in schools, hospitals, Monitoring of public places such as airports and stations; some military guidance systems and targeting systems based on machine vision. [0004] Video target tracking can be roughly divided into two categories according to different learning models, namely tracking alg...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246
CPCG06T2207/10016
Inventor 韩守东陈永志刘甜甜陈阳
Owner 安徽卓锐三维科技有限公司
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