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Target tracking method based on correlation filtering and color histogram statistics and ADAS (Advanced Driving Assistance System)

A color histogram, target tracking technology, applied in the field of computer vision, can solve problems such as user experience degradation, false alarm, tracking drift, etc.

Inactive Publication Date: 2017-05-10
开易(北京)科技有限公司
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  • Application Information

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Problems solved by technology

For these situations, the simple correlation filter tracking algorithm is prone to tracking drift, which may cause false alarms and degrade user experience

Method used

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  • Target tracking method based on correlation filtering and color histogram statistics and ADAS (Advanced Driving Assistance System)
  • Target tracking method based on correlation filtering and color histogram statistics and ADAS (Advanced Driving Assistance System)
  • Target tracking method based on correlation filtering and color histogram statistics and ADAS (Advanced Driving Assistance System)

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Embodiment Construction

[0019] The principles of the disclosure will now be described with reference to some example embodiments. It can be understood that these embodiments are described only for the purpose of illustrating and helping those skilled in the art to understand and implement the present disclosure, rather than suggesting any limitation to the scope of the present disclosure. The disclosure described herein may be implemented in various ways other than those described below.

[0020] As used herein, the term "comprising" and its variations may be understood as open-ended terms meaning "including but not limited to". The term "based on" may be understood as "based at least in part on". The term "one embodiment" can be read as "at least one embodiment". The term "another embodiment" may be understood as "at least one other embodiment".

[0021] It can be understood that the correlation filter mentioned in this application is a template for image patch matching. The image correlation op...

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Abstract

The invention discloses a target tracking method based on correlation filtering and color histogram statistics and an ADAS (Advanced Driving Assistance System). The target tracking method comprises the steps of extracting HOG (Histogram of Oriented Gradients) features and color histogram statistical information of a target region, and generating an initial tracker; extracting HOG features and color histogram statistical information of the next image frame according to the initial tracker, and performing convolution operation on a feature image by using a current filter h<t> to acquire a template response value f<tmpl>(x); extracting the color histogram statistical information of the image frame, and calculating a histogram response value f<hist>(x) by using a current color histogram weight vector beta<t>; fusing the template response value f<tmpl>(x) and the histogram response value f<hist>(x) to acquire a final response value f(x) of a target, and performing target detection and positioning on the target according to the final response value f(x). According to the invention, the complementarity of two tracking algorithms is utilized, the speed and the accuracy of a tracking algorithm can be simultaneously ensured, a condition of drifting of the tracking target is greatly reduced, and the target tracking method has good application prospects in a driving assistance system.

Description

technical field [0001] The invention relates to the computer vision technology of an advanced driving assistance system, in particular to a target tracking method and system based on correlation filtering and color histogram statistics. Background technique [0002] With the advent of the automobile era, the number of motor vehicles has increased greatly, and more and more attention has been paid to automobile safety technology. Among them, the advanced driver assistance system (ADAS) plays a vital role in the field of automobile safety. In advanced driver assistance systems (ADAS) based on computer vision technology, object tracking is a key technology, including vehicle (motorcycle, electric vehicle, bicycle) tracking, pedestrian tracking, etc. Real-time, accurate, stable and reliable target tracking output is the premise to ensure user experience. [0003] Object tracking has been studied for many years, and many excellent algorithms have been proposed to handle a varie...

Claims

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Application Information

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IPC IPC(8): G06T7/246
CPCG06T2207/10016G06T2207/20024
Inventor 刘鹏
Owner 开易(北京)科技有限公司
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