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» Tracking Objects Using Recognition
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98
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ICIP
2006
IEEE
16 years 4 months ago
Video Surveillance using Dynamic Configuration of Mutiple Active Cameras
In this paper, we present a coordinated video surveillance system that can minimize the spatial limitation and can precisely extract the 3D position of objects. To do this, our sy...
Nyoun Kim, Ig-Jae Kim, Hyoung-Gon Kim
CVPR
2009
IEEE
16 years 8 months ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden
116
Voted
BMVC
2000
15 years 4 months ago
Building Temporal Models for Gesture Recognition
This work presents a piecewise linear approximation to non-linear Point Distribution Models for modelling the human hand. The work utilises the natural segmentation of shape space...
Richard Bowden, Mansoor Sarhadi
96
Voted
BMVC
2000
15 years 4 months ago
3D Model Acquisition by Tracking 2D Wireframes
This paper presents a semi-automatic wireframe acquisition system. The system uses real-time (25Hz) tracking of a user specified 2D wireframe and intermittent camera pose paramete...
M. Brown, Tom Drummond, Roberto Cipolla
112
Voted
TSMC
2008
128views more  TSMC 2008»
15 years 2 months ago
Adaptive Sensor Placement and Boundary Estimation for Monitoring Mass Objects
Sensor networks are widely used in monitoring and tracking a large number of objects. Without prior knowledge on the dynamics of object distribution, their density estimation could...
Zhen Guo, MengChu Zhou, Guofei Jiang