Sciweavers

5 search results - page 1 / 1
» Bayesian Human Segmentation in Crowded Situations
Sort
View
CVPR
2003
IEEE
13 years 9 months ago
Bayesian Human Segmentation in Crowded Situations
Problem of segmenting individual humans in crowded situations from stationary video camera sequences is exacerbated by object inter-occlusion. We pose this problem as a “model-b...
Tao Zhao, Ramakant Nevatia
PAMI
2008
188views more  PAMI 2008»
13 years 3 months ago
Segmentation and Tracking of Multiple Humans in Crowded Environments
Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model-based approach to interpret the image observations...
Tao Zhao, Ramakant Nevatia, Bo Wu
WSC
2008
13 years 6 months ago
Integrated human decision making model under Belief-Desire-Intention framework for crowd simulation
An integrated Belief-Desire-Intention (BDI) modeling framework is proposed for human decision making and planning, whose sub-modules are based on Bayesian belief network (BBN), De...
Seungho Lee, Young-Jun Son
ICCV
2007
IEEE
14 years 5 months ago
Hierarchical Part-Template Matching for Human Detection and Segmentation
Local part-based human detectors are capable of handling partial occlusions efficiently and modeling shape articulations flexibly, while global shape template-based human detector...
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel...
IJISTA
2006
113views more  IJISTA 2006»
13 years 3 months ago
Extraction of mid-level semantics from gesture videos using a Bayesian network
In this paper a method for extraction of mid-level semantics from sign language videos is proposed, by employing high level domain knowledge. The semantics concern labeling of the ...
Dimitrios I. Kosmopoulos, Ilias Maglogiannis