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» Hybrid Models for Human Motion Recognition
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JIRS
2007
116views more  JIRS 2007»
13 years 5 months ago
Recognition of Human Motion From Qualitative Normalised Templates
Abstract This paper proposes a Qualitative Normalised Templates (QNTs) framework for solving the human motion classification problem. In contrast to other human motion classifica...
Chee Seng Chan, Honghai Liu, David J. Brown
MVA
1990
140views Computer Vision» more  MVA 1990»
13 years 6 months ago
Recognition of Human Motion Based on Interpretation of 2D Pattern Deformation
This paper presents an approach to recognize human motion from singleviewed image sequencein order to realize a new man-computerinterface.Thehuman body is assumed to be linked mod...
Keiko Shiraishi, Mutsuhiro Terauchi, Kenji Onaga
CVPR
2000
IEEE
14 years 7 months ago
Representation and Recognition of Complex Human Motion
The quest for a vision system capable of representing and recognizing arbitrary motions benefits from a low dimensional, non-specific representation of flow fields, to be used in ...
Jesse Hoey, James J. Little
CVIU
2006
222views more  CVIU 2006»
13 years 5 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
IROS
2007
IEEE
129views Robotics» more  IROS 2007»
13 years 11 months ago
Representability of human motions by factorial hidden Markov models
— This paper describes an improved methodology for human motion recognition and imitation based on Factorial Hidden Markov Models (FHMM). Unlike conventional Hidden Markov Models...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura