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» Feature-aided particle tracking
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ICCV
2003
IEEE
15 years 11 months ago
Maintaining Multi-Modality through Mixture Tracking
In recent years particle filters have become a tremendously popular tool to perform tracking for non-linear and/or non-Gaussian models. This is due to their simplicity, generality...
Arnaud Doucet, Jaco Vermaak, Patrick Pérez
AVSS
2009
IEEE
15 years 1 months ago
Regressed Importance Sampling on Manifolds for Efficient Object Tracking
In this paper, a new integrated particle filter is proposed for video object tracking. After particles are generated by importance sampling, each particle is regressed on the tran...
Fatih Porikli, Pan Pan
ICPR
2002
IEEE
15 years 2 months ago
Tracking Multiple Animals in Wildlife Footage
We describe a method for tracking animals in wildlife footage. It uses a CONDENSATION particle filtering framework driven by learnt characteristics of specific animals. The key ...
David Tweed, Andrew Calway
FGR
2006
IEEE
262views Biometrics» more  FGR 2006»
15 years 3 months ago
Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images
This paper presents the application of a kernel particle filter for 3D body tracking in a video stream acquired from a single uncalibrated camera. Using intensity-based and color...
Joachim Schmidt, Jannik Fritsch, Bogdan Kwolek
ICIP
2003
IEEE
15 years 11 months ago
Transductive inference for color-based particle filter tracking
Robust real-time tracking of non-rigid objects in a dynamic environment is a challenging task. Among various cues in tracking, color can provide an efficient visual cue for this t...
Jiang Li, Chin-Seng Chua