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» Probabilistic Scene Models for Image Interpretation
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PAMI
2012
11 years 8 months ago
A Tree-Based Context Model for Object Recognition
—There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context mod...
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
CVPR
2003
IEEE
14 years 8 months ago
Probabilistic Spatial Context Models for Scene Content Understanding
Scene content understanding facilitates a large number of applications, ranging from content-based image retrieval to other multimedia applications. Material detection refers to t...
Amit Singhal, Jiebo Luo, Weiyu Zhu
ICRA
2002
IEEE
209views Robotics» more  ICRA 2002»
13 years 11 months ago
Probabilistic Shape and Appearance Model for Scene Segmentation
Effective image segmentation of a digitized scene into a set of recognizable objects requires the development of sophisticated scene analysis algorithms. Progress in this area has...
Shaun S. Gleason, Mongi A. Abidi, Hamed Sari-Sarra...
IVC
2006
183views more  IVC 2006»
13 years 6 months ago
Augmented tracking with incomplete observation and probabilistic reasoning
An on-line algorithm for multi-object tracking is presented for monitoring a real-world scene from a single fixed camera. Potential objects are detected with adaptive backgrounds ...
Ming Xu, Tim Ellis
CIARP
2009
Springer
14 years 17 days ago
Randomized Probabilistic Latent Semantic Analysis for Scene Recognition
The concept of probabilistic Latent Semantic Analysis (pLSA) has gained much interest as a tool for feature transformation in image categorization and scene recognition scenarios. ...
Erik Rodner, Joachim Denzler