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Target tracking method under complex scene based on superpixel

A technology for target tracking and complex scenes, which is applied in the field of target tracking in complex scenes based on superpixels, and can solve problems such as easy tracking loss, difficulty in dealing with illumination changes, and inability to separate the target from the background.

Inactive Publication Date: 2015-01-21
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the local binary model cannot completely separate the target from the background, it is easy to lose track when the target is moving fast or the target is blurred.
At the same time, the standard local binary model is difficult to deal with lighting changes

Method used

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  • Target tracking method under complex scene based on superpixel
  • Target tracking method under complex scene based on superpixel
  • Target tracking method under complex scene based on superpixel

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Experimental program
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Embodiment Construction

[0066] A target tracking method in a complex scene based on superpixels includes the following steps:

[0067] Step 1: Initialize the parameters, take the first m frames of images in the video stream as the training set, and m takes 3-6:

[0068] Step 1.1: Select the area where the target is located, and perform super pixel segmentation on the area:

[0069] Step 1.1.1: randomly select k points in the target area as the center point of the super pixel, also called the cluster center C of the super pixel K :

[0070] C K =[l k ,a k ,b k ,x k ,y k ] T

[0071] Sample pixels in each box S of regular size, l k , A k , B k Is a parameter in the CIELAB color space. This color space is the closest to human vision. Its l k The component is the brightness. Can modify a k (Red and green value) and b k (Blue-yellow value) The output color scale of the component is used for accurate color balance, which is more accurate than the RGB space. x k , Y k Represents the coordinates of the point. S can...

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Abstract

The invention discloses a target tracking method under a complex scene based on a superpixel. The method comprises the following steps that (1) parameter initialization is carried out, first m frames of images in a video stream are taken as a training set, and m is 3-6; (2) a previous frame of target zone is found, the steps are repeated, the superpixel is used for segmentation, and superpixel features are extracted; (3) a confidence map of the superpixel is computed; (4) through the confidence map obtained via the previous frame, N zones are taken as target candidate zones; (5) based on the Bayesian theory, the probability of a zone where a current frame target is placed can be obtained; and (6) the training set and an appearance model are updated. The target tracking method is suitable for target tracking high in accuracy requirement under the complex scene, the method can resist various complex environments such as illumination variation, target posture changing, scale changing, target blocking and the like, and when fuzzy frames exist in a video frequency, accurate tracking can still be carried out.

Description

Technical field [0001] The invention relates to a target tracking method in a complex scene based on super pixels. Background technique [0002] Target tracking technology in video is a key technology of video image processing. It involves computer vision, pattern recognition and artificial intelligence, and has important theoretical significance. Most of the scenes in real life will change, and many existing target tracking algorithms cannot satisfy target tracking in complex real scenes. Target tracking based on complex scenes requires comprehensive consideration of a series of complex changes in the surrounding environment of the target to be tracked and the target itself in the video sequence, including target block, target loss, light change, target rapid movement, target posture change, target scale Changes and other complex factors. [0003] Tracking failure is the main problem faced by target tracking in complex scenes. For example, tracking based on texture features, s...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/46G06V20/49G06V2201/07G06F18/253
Inventor 蒲晓蓉陈雷霆张思远邱航蔡洪斌崔金钟卢光辉曹跃
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA