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» Modeling Moving Objects over Multiple Granularities
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ICIG
2009
IEEE
14 years 3 months ago
Discriminative Maximum Margin Image Object Categorization with Exact Inference
Categorizing multiple objects in images is essentially a structured prediction problem: the label of an object is in general dependent on the labels of other objects in the image....
Qinfeng Shi, Luping Zhou, Li Cheng, Dale Schuurman...
NIPS
1992
13 years 10 months ago
Filter Selection Model for Generating Visual Motion Signals
Neurons in area MT of primate visual cortex encode the velocity of moving objects. We present a model of how MT cells aggregate responses from V1 to form such a velocity represent...
Steven J. Nowlan, Terrence J. Sejnowski
CVPR
2008
IEEE
14 years 10 months ago
Decomposition, discovery and detection of visual categories using topic models
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
Mario Fritz, Bernt Schiele
ICCV
2009
IEEE
15 years 1 months ago
Adaptive Fragments-Based Tracking of Non-Rigid Objects Using Level Sets
We present an approach to visual tracking based on dividing a target into multiple regions, or fragments. The target is represented by a Gaussian mixture model in a joint feature...
Prakash Chockalingam, Nalin Pradeep
CVPR
1999
IEEE
14 years 10 months ago
Independent Motion: The Importance of History
We consider a problem central in aerial visual surveillance applications { detection and tracking of small, independently moving objects in long and noisy video sequences. We dire...
Robert Pless, Tomás Brodský, Yiannis...