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algorithmic and architectural issues. Furthermore, we present our multiple-
camera system to investigate the relationship between the activity recognition
algorithms and the architectures required to perform these tasks in real-time.
The chapter describes the proposed activity recognition method that consists of
a distributed algorithm and a data fusion scheme for two and three-dimensional
visual analysis, respectively. Furthermore, we analyze the available data inde-
pendencies for our new algorithm, and discuss the potential architectures to
exploit the parallelism resulting from these independencies. Three architectures,
i.e., VLIW, symmetric parallel, and macro-pipelined architectures are presented
and compared in the chapter.
References
Aggarwal, J. K. & Cai, Q. (1999). Human Motion Analysis: A Review.
Computer Vision and Image Understanding,
73(3), 428-440.
Bregler, C. & Malik, J. (1998). Tracking people with twists and exponential
maps.
Proceedings of the IEEE Conference on Computer Vision and
Pattern Recognition
, 8-15.
Cheung, G. K. M., Kanade, T., Bouguet, J. Y. & Holler, M. (2000). A real time
system for robust 3d voxel reconstruction of human motions.
Proceedings
of the IEEE Conference on Computer Vision and Pattern Recognition
,
714-720.
Cohen, I. & Lee, M. W. (2002). 3D Body Reconstruction for Immersive
Interaction.
Proceedings of the International Workshop on Articulated
Motion and Deformable Objects,
119-130.
Comaniciu, D., Ramesh, V. & Meer, P. (2000). Real-time Tracking of Non-rigid
Objects using Mean Shift.
Proceedings of the IEEE International
Conference on Computer Vision and Pattern Recognition,
142-149.
Crockett, T. W. (1997). An Introduction to Parallel Rendering.
Parallel
Computing,
23(7), 819-843.
Davis, L. S., Borovikov, E., Cutler, R. & Horprasert, T. (1999). Multi-perspec-
tive Analysis of Human Action.
Proceedings of the International Work-
shop on Cooperative Distributed Vision.
Delamarre, Q. & Faugeras, O. (2001). 3D Articulated Models and Multi-view
Tracking with Physical Forces.
Computer Vision and Image Under-
standing,
81(3), 328-357.
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