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» Robust Control-Based Object Tracking
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ICASSP
2008
IEEE
14 years 4 months ago
Multi-feature vector flow for active contour tracking
In order to achieve both fast tracking and accurate object extraction, we present in this paper an original real-time active contour method, incorporating different feature maps i...
Joanna I. Olszewska, Christophe De Vleeschouwer, B...
CVPR
2005
IEEE
14 years 12 months ago
Tracking Multiple Mouse Contours (without Too Many Samples)
We present a particle filtering algorithm for robustly tracking the contours of multiple deformable objects through severe occlusions. Our algorithm combines a multiple blob track...
Kristin Branson, Serge Belongie
SETN
2010
Springer
13 years 7 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...
ICIAR
2007
Springer
13 years 11 months ago
A Simple Oriented Mean-Shift Algorithm for Tracking
Mean-Shift tracking gained a lot of popularity in computer vision community. This is due to its simplicity and robustness. However, the original formulation does not estimate the o...
Jamil Draréni, Sébastien Roy
IVC
2006
99views more  IVC 2006»
13 years 10 months ago
People tracking in surveillance applications
This paper presents a real-time algorithm that allows robust tracking of multiple objects in complex environments. Foreground pixels are detected using luminance contrast and grou...
Luis M. Fuentes, Sergio A. Velastin