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Digital Object Identifier (DOI) 10.1007/s00138-002-0079-9 Machine Vision and Applications (2003) 14: 199201 Machine Vision and
 

Summary: Digital Object Identifier (DOI) 10.1007/s00138-002-0079-9
Machine Vision and Applications (2003) 14: 199201 Machine Vision and
Applications
Problems, ongoing research and future directions in motion research
J.K. Aggarwal
Computer and Vision Research Center, Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin,
TX 78712-1084, USA
Published online: 8 August 2003 c Springer-Verlag 2003
Key words: Interactions tracking Human motion Segmen-
tation of motion Motion of body parts
1 Introduction
Interest in human motion research has been spurred by the
evolution of motion understanding and interpretation and a
concomitant change in emphasis in sponsored vision research.
Understanding human motion is one of the most compelling
computer vision problems today. Motion understanding began
with the study of planar rigid objects [1]. As successful algo-
rithms were developed, the focus moved to 3D rigid objects,
and then to piece-wise rigid/articulated objects [2]. Today we
study non-rigid objects, of which the most important is the

  

Source: Aggarwal, J. K. - Department of Electrical and Computer Engineering, University of Texas at Austin

 

Collections: Computer Technologies and Information Sciences; Engineering