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» Robust Occlusion Handling in Object Tracking
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ISMAR
2006
IEEE
14 years 1 months ago
Online camera pose estimation in partially known and dynamic scenes
One of the key requirements of augmented reality systems is a robust real-time camera pose estimation. In this paper we present a robust approach, which does neither depend on ofï...
Gabriele Bleser, Harald Wuest, Didier Stricker
JUCS
2010
265views more  JUCS 2010»
13 years 6 months ago
A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
Ahmed Ali, Kenji Terada
ICIP
2006
IEEE
14 years 9 months ago
Robust Kernel-Based Tracking using Optimal Control
Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...
Wei Qu, Dan Schonfeld
ICCV
2009
IEEE
13 years 5 months ago
SURF Tracking
Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motionbased trackin...
Wei He, Takayoshi Yamashita, Hongtao Lu, Shihong L...
WACV
2005
IEEE
14 years 1 months ago
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Jinman Kang, Isaac Cohen, Gérard G. Medioni