Conditional-Sorting Local Binary Pattern Based on Gait Energy Image for Human Identification
學年 101
學期 2
發表日期 2013-07-22
作品名稱 Conditional-Sorting Local Binary Pattern Based on Gait Energy Image for Human Identification
作品名稱（其他語言）
著者 Hsia, Chih-Hsien; Chiang, Jen-Shiun ; Dai, Yi-Jhe ; Lin, Tien-An
作品所屬單位 淡江大學電機工程學系
出版者 Worldcomp '13
會議名稱 The 17th International Conference on Image Processing, Computer Vision, & Pattern Recognition The 17th International Conference on Image Processing, Computer Vision, & Pattern Recognition
會議地點 Las Vegas, USA
摘要 Gait recognition systems have recently attracted much interest from biometric researchers. This work proposes a new feature extraction method for gait representation and recognition. The new method is extended from the technique of Local Binary Pattern (LBP) by changing the sorting method of LBP according to the blend direction to create a new approach, Conditional-Sorting Local Binary Pattern (CS-LBP). After synchronizing and calibrating the gait sequence images, a cycle of images from the gait sequence can be captured to form a Gait Energy Image (GEI). We then apply the CS-LBP on GEI to derive different blend direction images and calculate the recognition ability for each blend direction image for feature selections. To solve the classification problem, the Euclidean distance and Nearest Neighbor (NN) approaches are used. With the experiments carried out on the CASIA-B gait database, our proposed gait representation has a very good recognition rate.
關鍵字 Gait Recognition
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20130722~20130725
通訊作者 江正雄
國別 USA
公開徵稿 Y
出版型式 紙本
出處 Proceedings of the International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV 2013), 6p.
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