Target tracking method and system based on mean shift in complex scene

A mean shift, target tracking technology, applied in image data processing, instrumentation, calculation, etc., can solve problems such as tracking failure

Active Publication Date: 2013-12-04
SHENZHEN ZTE NETVIEW TECH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, when different targets are similar in grayscale and degree feature space, it is easy to cause tracking failure

Method used

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  • Target tracking method and system based on mean shift in complex scene
  • Target tracking method and system based on mean shift in complex scene
  • Target tracking method and system based on mean shift in complex scene

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Embodiment approach

[0112] S1011. Preprocessing step: perform color space conversion on the video data, and perform image denoising processing on the converted color space; for example, in order to reduce the amount of calculation, in a preferred implementation mode, the acquired video data can be grayscaled first , and then perform image denoising processing on the grayscale data;

[0113] S1012. Target detection step: perform target detection processing on the video data after image denoising processing to obtain a foreground target; in a preferred embodiment, the target detection processing method includes background difference method, frame difference method, light Flow method or background modeling method, wherein, the detailed technical scheme of target detection processing using the background difference method, frame difference method, optical flow method or background modeling method is well known to those of ordinary skill in the art. There are technologies, which are not described in d...

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Abstract

The invention discloses a target tracking method and system based on mean shift in a complex scene. The method includes the steps of obtaining video data of the scene, performing moving target separation on the video data to obtain a foreground target, extracting second order color histogram features in the foreground target and gradient weighted histogram features in the foreground target, and using a mean shift algorithm as a frame for conducting target tracking on the foreground target on the basis of the second order color histogram features and the gradient weighted histogram features. According to the method, due to the fact that the second order color histogram features and the gradient weighted histogram features are integrated and the mean shift algorithm is used as the frame for achieving target tracking, and accuracy and robustness of the target tracking algorithm can be improved.

Description

technical field [0001] The present invention relates to the technical fields of image processing, computer vision and pattern recognition, in particular to a method and device for tracking targets in complex scenes based on mean shift. Background technique [0002] Moving target tracking is an important topic in the field of computer vision. It is widely used in military visual guidance, robot navigation, safety monitoring, traffic control, medical diagnosis, virtual reality and battlefield security, public security monitoring, human-computer interaction, image compression, etc. . Usually, moving target tracking involves comprehensive solutions to multi-field problems such as image processing, pattern recognition, artificial intelligence, and adaptive control. Among them, image processing under complex backgrounds has always been a difficult point in visual information processing and understanding. [0003] Moving target tracking refers to the detection, feature extraction,...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 雷军徐庆华
Owner SHENZHEN ZTE NETVIEW TECH
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