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CVPR
2011
IEEE
13 years 5 months ago
Learning to Find Occlusion Regions
For two consecutive frames in a video, we identify which pixels in the first frame become occluded in the second. Such general-purpose detection of occlusion regions is difficul...
Ahmad Humayun, Oisin Mac Aodha, Gabriel Brostow
TROB
2008
118views more  TROB 2008»
13 years 8 months ago
A New Kalman-Filter-Based Framework for Fast and Accurate Visual Tracking of Rigid Objects
The best of Kalman-filter-based frameworks reported in the literature for rigid object tracking work well only if the object motions are smooth (which allows for tight uncertainty ...
Youngrock Yoon, Akio Kosaka, Avinash C. Kak
CVPR
2008
IEEE
14 years 3 months ago
Action recognition with motion-appearance vocabulary forest
In this paper we propose an approach for action recognition based on a vocabulary forest of local motionappearance features. Large numbers of features with associated motion vecto...
Krystian Mikolajczyk, Hirofumi Uemura
ICMCS
2008
IEEE
330views Multimedia» more  ICMCS 2008»
14 years 3 months ago
Automatic trademark detection and recognition in sport videos
In this paper we describe a system for automatic detection and recognition of trademarks in sports videos. We propose a compact representation of trademarks based on SIFT feature ...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
BMVC
2002
13 years 11 months ago
Object Recognition by a Cascade of Edge Probes
We frame the problem of object recognition from edge cues in terms of determining whether individual edge pixels belong to the target object or to clutter, based on the configurat...
Owen T. Carmichael, Martial Hebert