教師資料查詢 | 類別: 會議論文 | 教師: 江正雄 CHIANG JEN-SHIUN (瀏覽個人網頁)

標題: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
語言英文
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
國別美國
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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