Method for recognizing minority clothing images

A technology of minority and recognition methods, applied in character and pattern recognition, instruments, computer parts, etc., to achieve the effect of improving recognition efficiency, clear tone levels, and reducing over-learning problems

Inactive Publication Date: 2019-02-15
KUNMING UNIV OF SCI & TECH
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  • Abstract
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  • Application Information

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Problems solved by technology

Few of the current known metho

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  • Method for recognizing minority clothing images
  • Method for recognizing minority clothing images
  • Method for recognizing minority clothing images

Examples

Experimental program
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Example Embodiment

[0023] Example 1: Such as Figure 1-6 As shown, a method for identifying ethnic minority clothing images, the specific steps are as follows:

[0024] Step1 Perform human body detection on the image G and training image T to be recognized, using k-poselet (k> 1) The deformable component model detects each independent poselet to realize the overall and partial detection of the human body, and obtain the detected image G'and the detected training image T'respectively;

[0025] Step2 Extract the five underlying features of the color histogram, HOG, LBP, SIFT, and edge operator of the detected image G'and the detected training image T'to be recognized, respectively, to obtain the to-be-recognized image G" and Training image T after feature extraction";

[0026] Step3: Define the semantic attributes of ethnic minority clothing, label the detected training images T'with semantic attributes, use multi-task feature models to learn different styles of ethnic minority clothing and train classif...

Example Embodiment

[0031] Embodiment 2: In this embodiment, an image of Yunnan ethnic minority clothing is taken as an example for description.

[0032] Step1. First input the ethnic clothing image G to be recognized and the training image T from the Yunnan ethnic clothing image database, using the weight vector ω=(M 0 ,...,M j ...,M k-1 ,d 1 ,...,d j ...d k-1 ,b) Describe each k-poselet, where M j Is the appearance template, d j It is the spatial deformation model of the j-th pose of k-poselet, and b is the deviation. When the model is detected, each k-poselet is described by a weight vector.

[0033] Then, k individual HOG templates are used to simulate the appearance model of each part, the human body detection is performed on each independent poselet, and the key point prediction is made from the poselet position and the average position of the scale in the training data. Use average maximum accuracy (AMP) to measure whether a set of k-poselets C achieves high accuracy and high coverage:

[0034] ...

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Abstract

The invention relates to a method for recognizing minority clothing images, belonging to the field of computer vision, pattern recognition and image application. Firstly, the clothing images of minority nationalities to be recognized are inputted, and the images to be recognized and the training images in the clothing image database of minority nationalities are detected to obtain the images to berecognized and the training images respectively. Secondly, the color histogram, HOG, LBP, SIFT and edge of the detected image and training image are extracted to obtain the feature extracted image and training image. Then, the semantic attributes of minority clothing are defined, and the multi-task model is used to learn the different styles of minority clothing and to train the classifier model.Finally, through the trained classifier, the recognition of minority clothing images is realized and the recognition results are output. The identification method of the invention has high accuracy and efficiency.

Description

technical field [0001] The invention relates to a method for recognizing clothing images of ethnic minorities, and belongs to the fields of computer vision, pattern recognition and image applications. Background technique [0002] With the rapid growth of minority clothing image data, it is urgent to automatically analyze large-scale images by computer to extract relevant information that people can understand, so as to analyze, manage and identify these precious minority clothing images. Among the current known methods of clothing image recognition, most methods only focus on the category prediction of the underlying features and only for general clothing images. Chen et al. (<Describing clothing by semantic attributes>, 2012:609–623Heidelberg) proposed to extract the underlying features from body parts , including SIFT, color, and texture features, and then use the bag model and SVM to predict attributes and clothing categories. Shen et al. (<Unified structured l...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/2411G06F18/214
Inventor 刘骊吴圣美付晓东黄青松刘利军
Owner KUNMING UNIV OF SCI & TECH
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