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» Tracking objects in video using motion and appearance models
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MVA
2008
196views Computer Vision» more  MVA 2008»
13 years 9 months ago
Evaluation of an appearance-based 3D face tracker using dense 3D data
The ability to detect and track human heads and faces in video sequences can be considered as the finest level of any video surveillance system. In this paper, we introduce a gener...
Fadi Dornaika, Angel Domingo Sappa
ICIP
2008
IEEE
14 years 3 months ago
Boosted Interactively Distributed Particle Filter for automatic multi-object tracking
In this paper, we propose a Boosted Interactively Distributed Particle Filter (BIDPF) to address the problem of automatic multi-object tracking in the application of player tracki...
Yi Wu, Xiaofeng Tong, Yimin Zhang, Hanqing Lu
ICCV
2005
IEEE
14 years 11 months ago
Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and p...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
ICPR
2002
IEEE
14 years 2 months ago
Motion Tracking of Cattle with a Constrained Deformable Model
In this paper, we propose a method for monitoring the motion of cows by tracking the white patterns on them with constrained deformable models. As input for observation, we use im...
Daisuke Tsutsumi, Yasuyo Kita
ICPR
2006
IEEE
14 years 10 months ago
Initialization and System Modeling in 3-D Pose Tracking
Initialization and choice of adequate motion models are two important but seldom discussed problems in 3D modelbased pose (position and orientation) tracking. In this paper, we pr...
Danica Kragic, Ville Kyrki