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» A Probabilistic Background Model for Tracking
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EMMCVPR
2011
Springer
13 years 9 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen
ICCV
2001
IEEE
15 years 11 months ago
A Co-inference Approach to Robust Visual Tracking
Visual trackan,g cou,ld be treeted as a param,eter estim.ation. problem, of target representastionbased on observations in im,age sequ.ences. A rich,er target represen,tation, wou...
Ying Wu, Thomas S. Huang
IVC
2010
121views more  IVC 2010»
14 years 8 months ago
Multiview segmentation and tracking of dynamic occluding layers
We present an algorithm for the layered segmentation of video data in multiple views. The approach is based on computing the parameters of a layered representation of the scene in...
Ian D. Reid, Keith Connor
ICIP
2008
IEEE
15 years 11 months ago
Feature-based object modelling for visual surveillance
This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
Gary Baugh, Anil C. Kokaram
IJCV
2007
146views more  IJCV 2007»
14 years 9 months ago
Image-Based Modeling by Joint Segmentation
The paper first traces the image-based modeling back to feature tracking and factorization that have been developed in the group led by Kanade since the eighties. Both feature tra...
Long Quan, Jingdong Wang, Ping Tan, Lu Yuan