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CVPR
2008
IEEE
14 years 10 months ago
Learning 4D action feature models for arbitrary view action recognition
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
Pingkun Yan, Saad M. Khan, Mubarak Shah
FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
14 years 2 months ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian
CIVR
2009
Springer
315views Image Analysis» more  CIVR 2009»
14 years 7 months ago
Exploiting Facial Expressions for Affective Video Summarisation
This paper presents an approach to affective video summarization based on the facial expressions (FX) of viewers. A facial expression recognition system was deployed to capture a v...
Hideo Joho, Joemon M. Jose, Roberto Valenti, Nicu ...
MMM
2007
Springer
110views Multimedia» more  MMM 2007»
14 years 2 months ago
A Matching-Based Approach for Human Motion Analysis
Abstract. This paper presents a novel approach to implement estimation and recognition of human motion from uncalibrated monocular video sequences. As it is difficult to find a go...
Weilun Lao, Jungong Han, Peter H. N. de With
SOCO
2008
Springer
13 years 8 months ago
A face recognition system based on Pseudo 2D HMM applied to neural network coefficients
Face recognition from an image or video sequences is emerging as an active research area with numerous commercial and law enforcement applications. In this paper different Pseudo 2...
Vitoantonio Bevilacqua, Lucia Cariello, Gaetano Ca...