Conditional-Sorting Local Binary Pattern Based on Gait Energy Image for Human Identification

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 會議論文 > Item 987654321/91961

請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/91961

題名:	Conditional-Sorting Local Binary Pattern Based on Gait Energy Image for Human Identification
作者:	Hsia, Chih-Hsien;Chiang, Jen-Shiun;Dai, Yi-Jhe;Lin, Tien-An
貢獻者:	淡江大學電機工程學系
關鍵詞:	Gait Recognition
日期:	2013-07-22
上傳時間:	2013-08-12 11:18:54 (UTC+8)
出版者:	Worldcomp '13
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.
關聯:	Proceedings of the International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV 2013), 6p.
顯示於類別:	[電機工程學系暨研究所] 會議論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
Conditional-sorting local binary pattern based on gait energy image for human identification-final.pdf	論文	342Kb	Adobe PDF	498	檢視/開啟

在機構典藏中所有的資料項目都受到原著作權保護.

TAIR相關文章