Anti-shielding infrared target tracking method

An infrared target and anti-occlusion technology, applied in image analysis, image enhancement, instruments, etc., can solve problems affected by occlusion, tracking failure, etc.
CN110276785AActive Publication Date: 2019-09-24UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Publication Date
2019-09-24

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Abstract

The invention discloses an anti-shielding infrared target tracking method, solves the problem of long-time target tracking in complex environments such as attitude change and shielding, and belongs to the field of target tracking technologies and computer vision. The method comprises: reading an infrared image sequence; selecting a target in the initial frame of image in a framing manner to obtain the central position and size of the target, taking the target in the initial frame of image as a template, obtaining a second frame of image as a current frame of image, taking the template of the initial frame of image as a template of the current frame of image, and obtaining a two-dimensional cosine window according to the size of the template and the size of a cell unit; and extracting features of the template based on the direction gradient histogram and the Haar, carrying out linear fusion, initializing or updating a target model and a target regression coefficient, and obtaining a multi-layer kernel correlation filtering response graph set based on a search box in each frame of image to carry out subsequent target tracking. The method is used for infrared image target tracking.
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Description

technical field

[0001] An anti-blocking infrared target tracking method is used for infrared image target tracking and belongs to the field of target tracking technology and computer vision. Background technique

[0002] For a long time, target tracking has been widely used in military and civilian applications. Nowadays, various monitoring equipment based on cameras have spread in many important places, such as airports, shopping malls, factories, schools, etc., which play an important role in preventing and solving security problems. , but the traditional monitoring system still has certain defects, such as being greatly affected by attitude changes, target occlusion, motion blur, scale transformation, and out of view. A good algorithm can automatically complete the tracking of people of interest, and manual power must be used.

[0003] At present, target tracking methods are mainly based on regional information, such as template matching method, which is simple, accurate...

Claims

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