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» A Computational Framework for Handling Motion
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CVPR
2007
IEEE
14 years 2 months ago
Trajectory Series Analysis based Event Rule Induction for Visual Surveillance
In this paper, a generic rule induction framework based on trajectory series analysis is proposed to learn the event rules. First the trajectories acquired by a tracking system ar...
Zhang Zhang, Kaiqi Huang, Tieniu Tan, Liangsheng W...
ICCV
2005
IEEE
14 years 1 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
ICCV
2003
IEEE
14 years 1 months ago
Tracking Across Multiple Cameras With Disjoint Views
Conventional tracking approaches assume proximity in space, time and appearance of objects in successive observations. However, observations of objects are often widely separated ...
Omar Javed, Zeeshan Rasheed, Khurram Shafique, Mub...
SIGGRAPH
2010
ACM
13 years 11 months ago
Data-driven biped control
We present a dynamic controller to physically simulate underactuated three-dimensional full-body biped locomotion. Our datadriven controller takes motion capture reference data to...
Yoonsang Lee, Sungeun Kim, Jehee Lee
ICPR
2000
IEEE
13 years 11 months ago
Eigenfiltering for Flexible Eigentracking (EFE)
Traditional techniques for tracking non-rigid objects such as optical flow, correlation, active contours or color, can not deal with situations where image changes are not due to ...
Fernando De la Torre, Javier Melenchón, Jor...