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» Tracking Objects Using Recovered Physical Motion Parameters
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BMVC
2000
15 years 1 months ago
Quantifying Ambiguities in Inferring Vector-Based 3D Models
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...
Eng-Jon Ong, Shaogang Gong
ICMCS
2010
IEEE
176views Multimedia» more  ICMCS 2010»
14 years 9 months ago
LCD motion blur modeling and simulation
Liquid crystal display (LCD) devices are well known to have slow response due to the physical limitations of the liquid crystals. Therefore, fast moving objects in a scene are oft...
Stanley H. Chan, Truong Q. Nguyen
ICCV
2003
IEEE
15 years 5 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...
ICRA
2003
IEEE
105views Robotics» more  ICRA 2003»
15 years 5 months ago
Foveated observation of shape and motion
– Robotic navigation and interaction frequently require that the shape and motion of external objects and events be observed. Many interesting events occur at mixed scales. Subtl...
James Davis, Xing Chen
EMMCVPR
1999
Springer
15 years 4 months ago
Maximum Likelihood Inference of 3D Structure from Image Sequences
The paper presents a new approach to recovering the 3D rigid shape of rigid objects from a 2D image sequence. The method has two distinguishing features: it exploits the rigidity o...
Pedro M. Q. Aguiar, José M. F. Moura