Real-time tracking method based on on-line learning and tracking system thereof

A real-time tracking and learning unit technology, applied in image data processing, instrument, character and pattern recognition, etc., can solve problems such as time-consuming and labor-intensive, inability to learn, update and improve classification capabilities

Inactive Publication Date: 2012-05-02
KONKA GROUP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the integrated learning method is an offline learning method. The classifier trained by this method is fixed and cannot update and improve its own classification ability by learning new samples.
Once the training samples ar...

Method used

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  • Real-time tracking method based on on-line learning and tracking system thereof
  • Real-time tracking method based on on-line learning and tracking system thereof
  • Real-time tracking method based on on-line learning and tracking system thereof

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Embodiment 1

[0027] Example 1, such as figure 1 As shown, the present embodiment is a system that utilizes an online learning method to track gestures in real time, and the system mainly includes:

[0028] Image display unit: responsible for displaying images and graphic interfaces.

[0029] Ordinary image sensing units are devices such as cameras and cameras, which are responsible for obtaining visual information. That is, an image composed of frames of images.

[0030] Image processing unit, which is mainly an image denoising module: responsible for image denoising of the image sensing unit, providing guarantee for the effective extraction of the next target and the extraction of feature information.

[0031] Online learning unit: mainly includes the target feature information extraction unit: responsible for acquiring the feature information of the target, and obtaining the corner feature information from the image so as to determine the positive and negative samples in real time. Her...

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Abstract

The invention provides a real-time tracking method based on on-line learning and a tracking system thereof. The method comprises the following steps: acquiring image information through an image sensor, manually selecting an initial positive sample, utilizing a corresponding processing unit to complete extraction of object characteristic information, realizing classification of an object according to random forest, introducing classification reliability degree, according to a program similar to the object characteristic information, determining a positive sample and a negative sample which are used for training a random forest classifier, and finally utilizing a KLT tracking algorithm to realize accurate and high precision tracking of an object.

Description

technical field [0001] The invention relates to the field of video motion image data processing and machine vision, in particular to a real-time tracking method and tracking system based on online learning. Background technique [0002] Online learning belongs to the research category of incremental learning. In this type of method, the classifier only learns each sample once instead of repeated learning. In this way, a large amount of storage space is not required to store training samples during the operation of the online learning algorithm. Every time the classifier obtains a sample, it can be deleted after its learning is completed. [0003] Online learning greatly weakens the tedious step of manual labeling in the learning process. We only need to manually label a small sample set for the initial training of the classifier, and then the classifier can continuously obtain new samples when performing classification tasks. , so as to continuously self-train and improve t...

Claims

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Application Information

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IPC IPC(8): G06K9/66G06T7/20
Inventor 刘远民
Owner KONKA GROUP
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