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CVPR
2006
IEEE
14 years 7 months ago
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are pur...
Vidhya Navalpakkam, Laurent Itti
ICPR
2006
IEEE
13 years 11 months ago
Part Based Human Tracking In A Multiple Cues Fusion Framework
This paper presents a real time video surveillance system which is capable of tracking multiple humans simultaneously. To better deal with various challenging issues such as occlu...
Qi Zhao, Jinman Kang, Hai Tao, Wei Hua
CVPR
2003
IEEE
14 years 7 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
CVPR
2010
IEEE
14 years 1 months ago
Efficient Extraction of Human Motion Volumes by Tracking
We present an automatic and efficient method to extract spatio-temporal human volumes from video, which combines top-down model-based and bottom-up appearancebased approaches. Fr...
Juan Carlos Niebles, Bohyung Han, Li Fei-Fei
ICCV
2011
IEEE
12 years 5 months ago
Who Blocks Who: Simultaneous Clothing Segmentation for Grouping Images
Clothing is one of the most informative cues of human appearance. In this paper, we propose a novel multi-person clothing segmentation algorithm for highly occluded images. The ke...
Wang Nan, Haizhou Ai