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ICCV
1998
IEEE
16 years 3 months ago
Wormholes in Shape Space: Tracking Through Discontinuous Changes in Shape
Existing object tracking algorithms generally use some form of local optimisation, assuming that an object's position and shape change smoothly over time. In some situations ...
Tony Heap, David Hogg
104
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ICASSP
2008
IEEE
15 years 8 months ago
Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing
In this work, we implement a real-time visual tracker that targets the position and 3D pose of objects in video sequences, specifically faces. Using Stream Processors for perform...
Oscar Mateo Lozano, Kazuhiro Otsuka
ICIP
2008
IEEE
15 years 8 months ago
Multi-object tracking using binary masks
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
Sami Huttunen, Janne Heikkilä
BMVC
1998
15 years 2 months ago
Learning Enhanced 3D Models for Vehicle Tracking
This paper presents an enhanced hypothesis verification strategy for 3D object recognition. A new learning methodology is presented which integrates the traditional dichotomic obj...
James M. Ferryman, Anthony D. Worrall, Stephen J. ...
CVPR
2008
IEEE
15 years 8 months ago
Fuzzy chamfer distance and its probabilistic formulation for visual tracking
The paper presents a fuzzy chamfer distance and its probabilistic formulation for edge-based visual tracking. First, connections of the chamfer distance and the Hausdorff distance...
Yonggang Jin, Farzin Mokhtarian, Miroslaw Bober, J...