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» Learning to localize detected objects
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ICIP
2004
IEEE
14 years 11 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
DATE
2009
IEEE
133views Hardware» more  DATE 2009»
14 years 4 months ago
Architectural support for low overhead detection of memory violations
Violations in memory references cause tremendous loss of productivity, catastrophic mission failures, loss of privacy and security, and much more. Software mechanisms to detect me...
Saugata Ghose, Latoya Gilgeous, Polina Dudnik, Ane...
ECCV
2008
Springer
14 years 12 months ago
Scene Segmentation for Behaviour Correlation
Abstract. This paper presents a novel framework for detecting abnormal pedestrian and vehicle behaviour by modelling cross-correlation among different co-occurring objects both loc...
Jian Li, Shaogang Gong, Tao Xiang
CVPR
2012
IEEE
12 years 15 days ago
Teaching 3D geometry to deformable part models
Current object class recognition systems typically target 2D bounding box localization, encouraged by benchmark data sets, such as Pascal VOC. While this seems suitable for the de...
Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt...
ICCV
2009
IEEE
15 years 3 months ago
Detecting Interpretable and Accurate Scale-Invariant keypoints
This paper presents a novel method for detecting scale invariant keypoints. It fills a gap in the set of available methods, as it proposes a scale-selection mechanism for juncti...
Wolfgang F¨orstner, Timo Dickscheid, Falko Schind...