Human Gait Recognition Based on Spatio-Temporal Interest Points for Depth Images
碩士 === 元智大學 === 資訊工程學系 === 103 === Recognition of human gait can facilitate identifying individuals from a distance. Of the numerous human gait recognition methods previously proposed, most are based on 2D visual videos. Recently, the development of depth sensors has raised new possibilities of deal...
Main Authors: | Chu-Chun Hsu, 許竹君 |
---|---|
Other Authors: | Shu-Yuan Chen |
Format: | Others |
Language: | zh-TW |
Online Access: | http://ndltd.ncl.edu.tw/handle/15646662423959259431 |
Similar Items
-
Frontal Gait Recognition Based on Spatio-Temporal Interest Points
by: Hsi-Yun Liao, et al. -
Multi-View Human Gait Recognition Based on Spatio-Temporal Interest Points
by: Sheng-Hsuan Yang, et al.
Published: (2016) -
Two-Person Interaction Recognition Based on Spatio-Temporal Interest Points for Depth Videos
by: Li-Ting Wen, et al.
Published: (2016) -
Human Action Recognition Using Spatio-Temporal-Interest-Point-Based Matching
by: Tao-Yuan Chang, et al. -
Facial Expression Recognition based on Spatio-Temporal Interest Points
by: I-HSIANG CHEN, et al.