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» Multi-Kernel Object Tracking
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109
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PRL
2007
158views more  PRL 2007»
15 years 3 months ago
Stability and convergence of the level set method in computer vision
Several computer vision problems, like segmentation, tracking and shape modeling, are increasingly being solved using level set methodologies. But the critical issues of stability...
Kunal N. Chaudhury, K. R. Ramakrishnan
127
Voted
BMVC
2010
15 years 1 months ago
Reducing mismatching under time-pressure by reasoning about visibility and occlusion
Three methods are explored which help indicate whether feature points are potentially visible or occluded in the matching phase of the keyframe-based real-time visual SLAM system....
Somkiat Wangsiripitak, David W. Murray
146
Voted
JRTIP
2010
137views more  JRTIP 2010»
14 years 10 months ago
Cascaded online boosting
In this paper, we propose a cascaded version of the online boosting algorithm to speed-up the execution time and guarantee real-time performance even when employing a large number ...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti
139
Voted
ICCV
2007
IEEE
16 years 5 months ago
Differential EMD Tracking
Illumination changes cause object appearance to change drastically and many existing tracking algorithms lack the capability to handle this problem. The Earth Mover's Distanc...
Qi Zhao, Shane Brennan, Hai Tao
106
Voted
ICPR
2006
IEEE
16 years 4 months ago
Trains of keypoints for 3D object recognition
This paper presents a 3D object recognition method that exploits the spatio-temporal coherence of image sequences to capture the object most relevant features. We start from an im...
Elise Arnaud, Francesca Odone, Alessandro Verri