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《China Sciencepaper》 2017-14
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View-invariant human pose retrieval in images based on pose estimation

YANG Jingjing;WAN Lili;Institute of Information Science,Beijing Jiaotong University;Beijing Key Laboratory of Advanced Information Science and Network Technology,Beijing Jiaotong University;  
Most existing human pose image retrieval methods can only retrieve the human pose image at similar point of view.In order to solve this problem,a view-invariant human pose retrieval method is proposed.First,the 2 Dcoordinates of every human joint in the image are calculated.Then,the 3 Dcoordinate information of every joint can be estimated,according to the 2 Dcoordinates and pose library.After that,the bone angles are calculated as the feature to measure the similarity.Since the measurement of image similarity is based on 3 Dhuman bones,our method can be view-invariant.The experiments show that the proposed method can improve the hit rate of human pose retrieval in multi-view action database.
【Fund】: 国家自然科学基金资助项目(61572064);; 中央高校基本科研业务费专项资金资助项目(2014JBZ004)
【CateGory Index】: TP391.41
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