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JMM2
2006
110views more  JMM2 2006»
13 years 4 months ago
Two-Stage PCA Extracts Spatiotemporal Features for Gait Recognition
We propose a technique for gait recognition from motion capture data based on two successive stages of principal component analysis (PCA) on kinematic data. The first stage of PCA ...
Sandhitsu R. Das, Robert C. Wilson, Maciej T. Laza...
ICIP
2007
IEEE
13 years 11 months ago
Orthogonal Diagonal Projections for Gait Recognition
Gait has received much attention from researchers in the vision field due to its utility in walker identification. One of the key issues in gait recognition is how to extract di...
Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan
ECCV
2006
Springer
14 years 6 months ago
Gait Recognition Using a View Transformation Model in the Frequency Domain
Gait analyses have recently gained attention as methods of identification of individuals at a distance from a camera. However, appearance changes due to view direction changes caus...
Yasushi Makihara, Ryusuke Sagawa, Yasuhiro Mukaiga...
IJON
2007
112views more  IJON 2007»
13 years 4 months ago
Extraction of spatio-temporal primitives of emotional body expressions
Experimental and computational studies suggest that complex motor behavior is based on simpler spatiotemporal primitives, or synergies. This has been demonstrated by application o...
Lars Omlor, Martin A. Giese
MLDM
2009
Springer
13 years 11 months ago
A Two-fold PCA-Approach for Inter-Individual Recognition of Emotions in Natural Walking
This paper describes recognition of emotions of an unkown person during natural walking. As gait data is redundant, high dimensional and variable, effective feature extraction is ...
Michelle Karg, Robert Jenke, Kolja Kühnlenz, ...