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Bird image recognition method by multilayer sparse coding features

A technology of image recognition and sparse coding, applied in the field of image recognition, can solve the problems of undiscovered patents of bird image recognition

Inactive Publication Date: 2016-06-01
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, there are some patents for bird recognition, but no patents for bird image recognition have been found.

Method used

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  • Bird image recognition method by multilayer sparse coding features
  • Bird image recognition method by multilayer sparse coding features
  • Bird image recognition method by multilayer sparse coding features

Examples

Experimental program
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Embodiment

[0045] Such as figure 1 As shown, the bird image recognition method of the multi-layer sparse coding feature of the present embodiment includes the following;

[0046] S1 training process

[0047] S1.1 Collect various bird training images to form a bird training data set;

[0048] The present invention selects a data set of 200 types of birds from the California Institute of Technology. This data set contains image data of 200 different types of birds, and each type has more than 300 images.

[0049] S1.2 Dictionary Learning

[0050] S1.2.1

[0051] Before classifier training, a sparse coding dictionary needs to be established. In the traditional sparse coding dictionary learning process, since some image blocks will appear repeatedly in a large number, these image blocks with high repeatability will be selected with a high probability when the sample set is randomly selected to train the dictionary, resulting in the final The learned dictionary appears to be overfitting....

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Abstract

The invention discloses a bird image recognition method by multilayer sparse coding features. Firstly, a cascaded multilayer sparse coding structure is used on R, G and B channels of a local image block for extracting sparse coding features, wherein each layer of sparse coding structure comprises a feature coding part and a feature maximum value extraction part; and then, in the aspect of output features, the multilayer sparse coding features use a linear kernel for fusion, and an SVM is used as a classifier for classified judgment. In the multilayer sparse coding structure, a local constraint term is added to an optimization objective function, a solved approximate solution for the objective function is iteratively used for sparse coding in the feature coding part, the coding values are then used for minimally reconstructing errors, and a dictionary is updated. According to the bird image recognition method by multilayer sparse coding features, the bird image recognition precision by the system can be greatly improved.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a bird image recognition method with multi-layer sparse coding features. Background technique [0002] At present, there are some patents for bird recognition, but no patents for bird image recognition have been found. In terms of bird identification, patent 2009102108999 provides a remote wireless monitoring system based on audio-visual integrated wild bird identification technology, which is used for remote ecological monitoring. The system includes a song recording module, a video recording module, and audio and video data processing. module, audio and video stream transmission module and audio and video digital file storage module. Patent 2013105810072 provides a mobile bird recognition method based on birdsong. The patent uses LabVIEW software to preprocess the collected birdsong signal, and uses the AOK time-frequency analysis method of mixed programming of LabVIEW and MAT...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/214G06F18/2411
Inventor 郭礼华
Owner SOUTH CHINA UNIV OF TECH
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