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ICPR
2008
IEEE
14 years 8 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...
AIPR
2003
IEEE
14 years 25 days ago
Band Selection Using Independent Component Analysis for Hyperspectral Image Processing
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
Hongtao Du, Hairong Qi, Xiaoling Wang, Rajeev Rama...
SCIA
2007
Springer
151views Image Analysis» more  SCIA 2007»
14 years 1 months ago
A PCA-Based Technique to Detect Moving Objects
Abstract. Moving objects detection is a crucial step for video surveillance systems. The segmentation performed by motion detection algorithms is often noisy, which makes it hard t...
Nicolas Verbeke, Nicole Vincent
IJCV
2008
155views more  IJCV 2008»
13 years 7 months ago
Fast Transformation-Invariant Component Analysis
For software and more illustrations: http://www.psi.utoronto.ca/anitha/fastTCA.htm Dimensionality reduction techniques such as principal component analysis and factor analysis are...
Anitha Kannan, Nebojsa Jojic, Brendan J. Frey

Publication
170views
13 years 6 months ago
Covariance Regularization for Supervised Learning in High Dimensions
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
Daniel L. Elliott, Charles W. Anderson, Michael Ki...