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CVPR
1999
IEEE
16 years 8 months ago
Independent Motion: The Importance of History
We consider a problem central in aerial visual surveillance applications { detection and tracking of small, independently moving objects in long and noisy video sequences. We dire...
Robert Pless, Tomás Brodský, Yiannis...
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
16 years 8 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
ICCV
2005
IEEE
16 years 8 months ago
Periodic Motion Detection and Segmentation via Approximate Sequence Alignment
A method for detecting and segmenting periodic motion is presented. We exploit periodicity as a cue and detect periodic motion in complex scenes where common methods for motion se...
Ivan Laptev, Josh Wills, Patrick Pérez, Ser...
ICCV
2001
IEEE
16 years 8 months 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
ECCV
2004
Springer
16 years 8 months ago
On Refractive Optical Flow
This paper presents a novel generalization of the optical flow equation to the case of refraction, and it describes a method for recovering the refractive structure of an object fr...
Sameer Agarwal, Satya P. Mallick, David J. Kriegma...