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ICCV
2009
IEEE
16 years 10 months ago
Spatio-Temporal Relationship Match: Video Structure Comparison for Recognition of Complex Human Activities
Human activity recognition is a challenging task, especially when its background is unknown or changing, and when scale or illumination differs in each video. Approaches utilizi...
M. S. Ryoo1; J. K. Aggarwal
MM
2010
ACM
146views Multimedia» more  MM 2010»
15 years 5 months ago
Understanding the security and robustness of SIFT
Many content-based retrieval systems (CBIRS) describe images using the SIFT local features because of their very robust recognition capabilities. While SIFT features proved to cop...
Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Ams...
CVPR
2005
IEEE
16 years 7 months ago
Spatial Priors for Part-Based Recognition Using Statistical Models
We present a class of statistical models for part-based object recognition that are explicitly parameterized according to the degree of spatial structure they can represent. These...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
121
Voted
CGF
2005
126views more  CGF 2005»
15 years 4 months ago
Pen-and-Ink for BlobTree Implicit Models
New techniques are presented for rendering complex hierarchical skeletal implicit models in several pen-and-ink styles. A particle system is employed to find interesting areas on ...
Kevin Foster, Pauline Jepp, Brian Wyvill, Mario Co...
CVPR
2005
IEEE
16 years 7 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona