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NIPS
2004
13 years 9 months ago
Incremental Learning for Visual Tracking
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hs...
MVA
2008
131views Computer Vision» more  MVA 2008»
13 years 8 months ago
Frame-level temporal calibration of video sequences from unsynchronized cameras
This paper describes a new method for temporally calibrating multiple cameras by image processing operations. Existing multi-camera algorithms assume that the input sequences are ...
Senem Velipasalar, Wayne Wolf
IBPRIA
2003
Springer
14 years 1 months ago
Probabilistic Observation Models for Tracking Based on Optical Flow
In this paper, we present two new observation models based on optical flow information to track objects using particle filter algorithms. Although optical flow information enabl...
Manuel J. Lucena, José M. Fuertes, Nicolas ...
UIST
2000
ACM
14 years 24 days ago
SATIN: a toolkit for informal ink-based applications
Software support for making effective pen-based applications is currently rudimentary. To facilitate the creation of such applications, we have developed SATIN, a Java-based toolk...
Jason I. Hong, James A. Landay
ICCV
2011
IEEE
12 years 8 months ago
Kinecting the dots: Particle Based Scene Flow from depth sensors
The motion field of a scene can be used for object segmentation and to provide features for classification tasks like action recognition. Scene flow is the full 3D motion fiel...
Simon Hadfield, Richard Bowden