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On-line type visual tracking method

A visual tracking and line-based technology, applied in the field of visual tracking, can solve the problems of large amount of training calculations and a large number of training

Active Publication Date: 2013-06-12
珠海中科先进科技产业有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is to solve the problem that a large amount of training is required before tracking the target in the prior art, and the training calculation amount is large

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Embodiment Construction

[0029] The technical solution of the present invention provides an online visual tracking method, comprising the following steps:

[0030] S1. Initialize the classifier: step S11, acquire the first frame of image, and mark the target area to be tracked; step S12, calculate the Haar-like feature of the image block in the above target area, and initialize the first classifier; step S13, calculate the above target area The binary coded feature of the image block in the image, initialize the second classifier;

[0031] S2. Adaptive tracking: Based on the structured output support vector machine, combined with the tracking of the particle filter, the motion model is established;

[0032] S3. Recapturing the target: using the first classifier to update the training samples, and then using the second classifier to build a global grid for global search.

[0033] The online visual tracking method provided by the present invention adopts two classifiers, the first classifier is used fo...

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Abstract

The invention relates to an on-line type visual tracking method which comprises the following steps. Firstly, a classifier is initialized: a first frame image is obtained and a to-be-tracked object region is marked; analogous hal features of an image block of the object region can be calculated and a first classifier is initialized; binary coding features of the image block of the object region can be calculated and the second classifier can be initialized. Secondly, self-adaptive tracking: based on a support vector machine which is output structurally, tracking of a particle filter can be combined and a motion model is built. Thirdly, a target can be captured renewably: a first classifier can be used for renewing a training sample and then, the second classifier can be used for building an overall situation gird so as to implement a global search. According to on-line type visual tracking method, the two classifiers can be used: the first classifier can be used for the self-adaptive tracking; the second classifier can be used for capturing lost targets renewably. Problems that target appearance changes and the targets disappear and need obtaining renewably can be respectively solved. A mass of practices cannot need to be proceeded before tracking targets.

Description

【Technical field】 [0001] The invention relates to visual tracking technology, in particular to an online visual tracking method with adaptability and recapturing targets. 【Background technique】 [0002] Visual tracking is a very important research in the field of computer vision. Visual tracking has important applications in monitoring, human-computer interaction, vehicle navigation, and video indexing. In terms of monitoring, such as criminal investigation monitoring, it can be applied to tracking suspicious persons in surveillance videos, thereby assisting investigators to track the traces of suspicious persons; in terms of traffic monitoring, visual tracking can track the driving direction of vehicles in real time, make statistical data and give real-time information. Traffic information, reasonable management of traffic conditions; in terms of human-computer interaction, information interaction between humans and machines can be realized by using the tracking and recogni...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06T7/20
Inventor 杨田雨李抱朴胡超孟庆虎
Owner 珠海中科先进科技产业有限公司
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