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ICMCS
2005
IEEE
153views Multimedia» more  ICMCS 2005»
13 years 10 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...
CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
15 years 1 days ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
CVPR
2012
IEEE
11 years 7 months ago
RGB-(D) scene labeling: Features and algorithms
Scene labeling research has mostly focused on outdoor scenes, leaving the harder case of indoor scenes poorly understood. Microsoft Kinect dramatically changed the landscape, show...
Xiaofeng Ren, Liefeng Bo, Dieter Fox
ICRA
2002
IEEE
121views Robotics» more  ICRA 2002»
13 years 9 months ago
Building Multi-Level Models: From Landscapes to Landmarks
In this paper a complete strategy for scene modelling from sensory data acquired in a natural environment is defined. This strategy is applied to outdoor mobile robotics and goes f...
Rafael Murrieta-Cid, Carlos Parra, Michel Devy, Be...
ECCV
2006
Springer
14 years 6 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...