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SETN
2010
Springer
14 years 11 months ago
Visual Tracking by Adaptive Kalman Filtering and Mean Shift
A method for object tracking combining the accuracy of mean shift with the robustness to occlusion of Kalman filtering is proposed. At first, an estimation of the object's pos...
Vasileios Karavasilis, Christophoros Nikou, Aristi...
FGR
2011
IEEE
245views Biometrics» more  FGR 2011»
14 years 5 months ago
Fast and robust appearance-based tracking
— We introduce a fast and robust subspace-based approach to appearance-based object tracking. The core of our approach is based on Fast Robust Correlation (FRC), a recently propo...
Stephan Liwicki, Stefanos Zafeiriou, Georgios Tzim...
CVPR
1999
IEEE
16 years 3 months ago
Object Recognition with Color Cooccurrence Histograms
We use the color cooccurrence histogram (CH) for recognizing objects in images. The color CH keeps track of the number of pairs of certain colored pixels that occur at certain sep...
Peng Chang, John Krumm
ICMCS
2007
IEEE
107views Multimedia» more  ICMCS 2007»
15 years 8 months ago
Trailblazing: Video Playback Control by Direct Object Manipulation
We describe a new interaction technique that allows users to control nonlinear video playback by directly manipulating objects seen in the video. This interaction technique is sim...
Don Kimber, Tony Dunnigan, Andreas Girgensohn, Fra...
ITIIS
2010
343views more  ITIIS 2010»
14 years 8 months ago
Dynamic Manipulation of a Virtual Object in Marker-less AR system Based on Both Human Hands
This paper presents a novel approach to control the augmented reality (AR) objects robustly in a marker-less AR system by fingertip tracking and hand pattern recognition. It is kn...
Junchul Chun, Byungsung Lee