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ACCV
2006
Springer
14 years 1 months ago
Object Tracking Using Background Subtraction and Motion Estimation in MPEG Videos
We present a fast and robust method for moving object tracking directly in the compressed domain using features available in MPEG videos. DCT domain background subtraction in Y pla...
Ashwani Aggarwal, Susmit Biswas, Sandeep Singh, Sh...
CVPR
2010
IEEE
14 years 3 months ago
Fast and Robust Object Segmentation with the Integral Linear Classifier
We propose an efficient method, built on the popular Bag of Features approach, that obtains robust multiclass pixellevel object segmentation of an image in less than 500ms, with...
David Aldavert, Arnau Ramisa, Ricardo Toledo, Ramo...
PAMI
2010
249views more  PAMI 2010»
13 years 6 months ago
Fast Keypoint Recognition Using Random Ferns
While feature point recognition is a key component of modern approaches to object detection, existing approaches require computationally expensive patch preprocessing to handle pe...
Mustafa Özuysal, Michael Calonder, Vincent Le...
IBPRIA
2009
Springer
14 years 6 days ago
Local Boosted Features for Pedestrian Detection
The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. T...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
TSMC
2008
225views more  TSMC 2008»
13 years 7 months ago
Robust Methods for Geometric Primitive Recovery and Estimation From Range Images
We present a method for the recovery of partially occluded 3D geometric primitives from range images which might also include non-primitive objects. The method uses a technique for...
Irina Lavva, Eyal Hameiri, Ilan Shimshoni