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» Unsupervised Feature Selection Using Feature Similarity
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PERCOM
2010
ACM
13 years 9 months ago
All for one or one for all? Combining heterogeneous features for activity spotting
Abstract—Choosing the right feature for motion based activity spotting is not a trivial task. Often, features derived by intuition or that proved to work well in previous work ar...
Ulf Blanke, Bernt Schiele, Matthias Kreil, Paul Lu...
ICPR
2008
IEEE
14 years 12 months ago
People detection based on co-occurrence of appearance and spatiotemporal features
This paper presents a method for detecting people based on the co-occurrence of appearance and spatiotemporal features. Histograms of oriented gradients(HOG) are used as appearanc...
Bon-Woo Hwang, Hironobu Fujiyoshi, Takeo Kanade, Y...
MM
2005
ACM
178views Multimedia» more  MM 2005»
14 years 4 months ago
Attention region selection with information from professional digital camera
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
Song Liu, Liang-Tien Chia, Deepu Rajan
ICPR
2008
IEEE
14 years 12 months ago
Fingerprint indexing based on composite set of reduced SIFT features
Most of current fingerprint indexing schemes utilize features based on global textures and minutiae structures. To extend the existing technology of feature extraction, this paper...
Xin Shuai, Chao Zhang, Pengwei Hao
AMDO
2006
Springer
14 years 2 months ago
Matching Deformable Features Based on Oriented Multi-scale Filter Banks
This paper presents a technique to enable deformable objects to be matched throughout video sequences based on the information provided by multi-scale Gaussian derivative filter ba...
Manuel J. Marín-Jiménez, Nicolas P&e...