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» Learning Semantic Scene Models by Trajectory Analysis
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ICCV
2007
IEEE
15 years 11 months ago
Scene Modeling Using Co-Clustering
In this paper, we propose a novel approach for scene modeling. The proposed method is able to automatically discover the intermediate semantic concepts. We utilize Maximization of...
Jingen Liu, Mubarak Shah
EXPERT
2010
145views more  EXPERT 2010»
14 years 7 months ago
Interaction Analysis with a Bayesian Trajectory Model
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Alessio Dore, Carlo S. Regazzoni
CRV
2008
IEEE
118views Robotics» more  CRV 2008»
15 years 4 months ago
Generating Semantic Information from 3D Scans of Crime Scenes
Recent advancements in laser and visible light sensor technology allows for the collection of photorealistic 3D scans of large scale spaces. This enables the technology to be used...
Anna Topol, Michael Jenkin, Jarek Gryz, Stephanie ...
ICMCS
2005
IEEE
153views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Improved semantic region labeling based on scene context
Semantic region labeling in outdoor scenes, e.g., identifying sky, grass, foliage, water, and snow, facilitates content-based image retrieval, organization, and enhancement. A maj...
Matthew R. Boutell, Jiebo Luo, Christopher M. Brow...
ICIP
2010
IEEE
14 years 7 months ago
Fast semantic scene segmentation with conditional random field
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...
Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia, ...