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IROS
2007
IEEE
189views Robotics» more  IROS 2007»
15 years 4 months ago
Person following with a mobile robot using binocular feature-based tracking
Abstract— We present the Binocular Sparse Feature Segmentation (BSFS) algorithm for vision-based person following with a mobile robot. BSFS uses Lucas-Kanade feature detection an...
Zhichao Chen, Stanley T. Birchfield
112
Voted
CVPR
2004
IEEE
16 years 7 days ago
Detection and Removal of Rain from Videos
The visual effects of rain are complex. Rain consists of spatially distributed drops falling at high velocities. Each drop refracts and reflects the environment, producing sharp i...
Kshitiz Garg, Shree K. Nayar
75
Voted
PAMI
2006
137views more  PAMI 2006»
14 years 10 months ago
Meticulously Detailed Eye Region Model and Its Application to Analysis of Facial Images
We propose a system that is capable of detailed analysis of eye region images in terms of the position of the iris, degree of eyelid opening, and the shape, complexity, and texture...
Tsuyoshi Moriyama, Takeo Kanade, Jing Xiao, Jeffre...
73
Voted
ICIP
2003
IEEE
15 years 12 months ago
Quadruped gait analysis using sparse motion information
In this paper we propose a system that recognises gait and quadruped structure from a sparse set of tracked points. In this work the motion information is derived from dynamic wil...
David P. Gibson, Neill W. Campbell, Barry T. Thoma...
102
Voted
ICCV
2001
IEEE
16 years 5 days ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black