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Camshift-based target tracking method

A target tracking and target technology, which is applied in the field of target tracking based on camshift, can solve problems such as target loss, interference of camshift algorithm results, and divergence of tracking windows, and achieve the effect of improving stability and improving target tracking ability.

Active Publication Date: 2017-12-29
NANJING UNIV OF SCI & TECH +1
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Problems solved by technology

However, when the environment around the target is more complex, it will interfere with the results of the camshift algorithm, usually causing the tracking window to diverge, which in turn causes the target to be lost

Method used

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Embodiment Construction

[0013] It is easy to understand that, according to the technical solution of the present invention, those skilled in the art can imagine various implementations of the camshift-based object tracking method of the present invention without changing the essence of the present invention. Therefore, the following specific embodiments and drawings are only exemplary descriptions of the technical solution of the present invention, and should not be regarded as the entirety of the present invention or as a limitation or limitation on the technical solution of the present invention.

[0014] to combine figure 2 , the improved camshift-based target tracking method steps of the present invention are as follows:

[0015] Step 1, initialize the search window.

[0016] The target is modeled in the HSV color space, and the target is described by a chromaticity (Hue) histogram. The specific steps are as follows.

[0017] (1.1) Convert the image in the search window into an HSV space image...

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Abstract

The invention provides a Camshift-based target tracking method. The method includes the following steps that: a search window is initialized; the color probability distribution map, namely, reverse projection map, of a search area is calculated; the meanshift method is adopted to obtain the new size and position of a target, namely a new window; the previously obtained window is adopted as a new window for a next frame of video image; and with the window obtained through using the meanshift method adopted as a center, the size of the search window is adaptively adjusted, and an actual target window under an ideal condition is estimated by using a color histogram, similarities between models in the result of the meanshift method, the adjusted search window and the estimated target window and the actual target model are compared, and the window corresponding to the model which is the most similar to the actual target model is adopted as a result. With the method of the invention adopted, the stability of target tracking can be improved.

Description

technical field [0001] The invention belongs to the technical field of image processing and target tracking, and in particular relates to a camshift-based target tracking method. Background technique [0002] Target recognition and tracking has always been a hot research issue in the field of computer vision, and it has important value in military, security, transportation and other fields. In the actual environment, the posture of the moving target usually changes, and the surrounding environment of the target is usually complex, which will greatly interfere with the tracking results. [0003] The mean shift (meanshift) algorithm and the camshift (continuously adaptive mean-shift) algorithm based on it are widely used because of their rapidity. Especially the camshift algorithm can well adapt to the deformation problem of the target. However, when the environment around the target is more complex, it will interfere with the results of the camshift algorithm, usually causi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/90G06T7/246
CPCG06T7/246G06T7/90
Inventor 李宝秦华旺赵玉鑫金钰田杰
Owner NANJING UNIV OF SCI & TECH
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