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» Robust Control-Based Object Tracking
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ICIAR
2005
Springer
15 years 11 months ago
A Novel Tracking Framework Using Kalman Filtering and Elastic Matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is genera...
Xingzhi Luo, Suchendra M. Bhandarkar
ICPR
2008
IEEE
16 years 10 days ago
Orientation and scale invariant mean shift using object mask-based kernel
In this paper, we propose a new method for object tracking based on mean shift algorithm using a kernel which has the shape of the target object, and with probabilistic estimation...
Kwang Moo Yi, Ho Seok Ahn, Jin Young Choi
ISMAR
2002
IEEE
15 years 10 months ago
Hand Tracking for Interactive Pattern-Based Augmented Reality
Pattern-based augmented reality systems are considered the most promising approach for accurately registering virtual objects with real-time video feeds. The problem with existing...
Shahzad Malik, Chris McDonald, Gerhard Roth
AAAI
2012
13 years 8 months ago
Model Learning and Real-Time Tracking Using Multi-Resolution Surfel Maps
For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a ...
Jörg Stückler, Sven Behnke
CVPR
2009
IEEE
17 years 1 months ago
Memory-based particle filter for face pose tracking robust under complex dynamics
A novel particle filter, the Memory-based Particle Filter (M-PF), is proposed that can visually track moving objects that have complex dynamics. We aim to realize robustness aga...
Dan Mikami (NTT), Kazuhiro Otsuka (NTT), Junji YAM...