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» Markov Random Field Modeling in Computer Vision
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WACV
2005
IEEE
14 years 1 months ago
Robust Salient Motion Detection with Complex Background for Real-Time Video Surveillance
Moving object detection is very important for video surveillance. In many environments, motion maybe either interesting (salient) motion (e.g., a person) or uninteresting motion (...
Ying-li Tian, Arun Hampapur
ISVC
2009
Springer
14 years 2 months ago
Motion-Based View-Invariant Articulated Motion Detection and Pose Estimation Using Sparse Point Features
Abstract. We present an approach for articulated motion detection and pose estimation that uses only motion information. To estimate the pose and viewpoint we introduce a novel mot...
Shrinivas J. Pundlik, Stanley T. Birchfield
CVPR
2010
IEEE
14 years 3 months ago
Multi-Class Object Localization by Combining Local Contextual Interactions
Recent work in object localization has shown that the use of contextual cues can greatly improve accuracy over models that use appearance features alone. Although many of these mo...
Carolina Galleguillos, Brian McFee, Gert Lanckriet
CVPR
2011
IEEE
13 years 3 months ago
Adapting an Object Detector by Considering the Worst Case: a Conservative Approach
The performance of an offline-trained classifier can be improved on-site by adapting the classifier towards newly acquired data. However, the adaptation rate is a tuning parame...
Guang Chen, TonyX. Han
QEST
2007
IEEE
14 years 2 months ago
Qualitative Logics and Equivalences for Probabilistic Systems
We investigate logics and equivalence relations that capture the qualitative behavior of Markov Decision Processes (MDPs). We present Qualitative Randomized Ctl (Qrctl): formulas o...
Luca de Alfaro, Krishnendu Chatterjee, Marco Faell...