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» Object Tracking at Multiple Levels of Spatial Resolutions
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CVPR
2007
IEEE
14 years 9 months ago
Hierarchical Matching of Deformable Shapes
We describe a new hierarchical representation for twodimensional objects that captures shape information at multiple levels of resolution. This representation is based on a hierar...
Pedro F. Felzenszwalb, Joshua D. Schwartz
FGR
2000
IEEE
163views Biometrics» more  FGR 2000»
14 years 2 days ago
Tracking Interacting People
A computer vision system for tracking multiple people in relatively unconstrained environments is described. Trackerformed at three levels of abstraction: regions, people and grou...
Stephen J. McKenna, Sumer Jabri, Zoran Duric, Harr...
ICCV
2001
IEEE
14 years 9 months ago
Human Tracking with Mixtures of Trees
Tree-structured probabilistic models admit simple, fast inference. However, they are not well suited to phenomena such as occlusion, where multiple components of an object may dis...
Sergey Ioffe, David A. Forsyth
TIME
2000
IEEE
14 years 23 hour ago
Navigating through Hierarchical Change Propagation in Spatiotemporal Queries
In spatiotemporal applications, meaningful changes vary according to object type, level of detail, and nature of application. In this paper, we introduce a dynamic classification ...
Giorgos Mountrakis, Peggy Agouris, Anthony Stefani...
EGH
2003
Springer
14 years 26 days ago
CULLIDE: interactive collision detection between complex models in large environments using graphics hardware
We present a novel approach for fast collision detection between multiple deformable and breakable objects in a large environment using graphics hardware. Our algorithm takes into...
Naga K. Govindaraju, Stephane Redon, Ming C. Lin, ...