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CVPR
2008
IEEE
16 years 5 months ago
Boosting adaptive linear weak classifiers for online learning and tracking
Online boosting methods have recently been used successfully for tracking, background subtraction etc. Conventional online boosting algorithms emphasize on interchanging new weak ...
Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal
ICCV
2007
IEEE
16 years 5 months ago
Extracting Spatiotemporal Interest Points using Global Information
Local spatiotemporal features or interest points provide compact but descriptive representations for efficient video analysis and motion recognition. Current local feature extract...
Shu-Fai Wong, Roberto Cipolla
ICPR
2006
IEEE
16 years 4 months ago
A Psychological Adaptive Model For Video Analysis
Extracting key-frames is the first step for efficient content-based indexing, browsing and retrieval of the video data in commercial movies. Most of the existing research deals wi...
B. Bhanu, N. Ghosh
ICC
2007
IEEE
142views Communications» more  ICC 2007»
15 years 10 months ago
Reduced-Complexity Cluster Modelling for the 3GPP Channel Model
—The realistic performance of a multi-input multi-output (MIMO) communication system depends strongly on the spatial correlation properties introduced by clustering in the propag...
Hui Xiao, Alister G. Burr, Rodrigo C. de Lamare
ICRA
2010
IEEE
146views Robotics» more  ICRA 2010»
15 years 2 months ago
Statistical mobility prediction for planetary surface exploration rovers in uncertain terrain
— Planetary surface exploration rovers must accurately and efficiently predict their mobility on natural, rough terrain. Most approaches to mobility prediction assume precise a p...
Genya Ishigami, Gaurav Kewlani, Karl Iagnemma