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» Real-Time Tracking Using Multiple Target Models
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HRI
2006
ACM
15 years 6 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
227
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ICCV
2011
IEEE
13 years 10 months ago
Tracking by Sampling Trackers
We propose a novel tracking framework called visual tracker sampler that tracks a target robustly by searching for the appropriate trackers in each frame. Since the real-world trac...
junseok kwon and kyoung mu lee
124
Voted
ICIP
2007
IEEE
16 years 2 months ago
Multi-Modal Particle Filtering Tracking using Appearance, Motion and Audio Likelihoods
We propose a multi-modal object tracking algorithm that combines appearance, motion and audio information in a particle filter. The proposed tracker fuses at the likelihood level ...
Matteo Bregonzio, Murtaza Taj, Andrea Cavallaro
100
Voted
IUI
2010
ACM
15 years 9 months ago
Speeding pointing in tiled widgets: understanding the effects of target expansion and misprediction
Target expansion is a pointing facilitation technique where the users target, typically an interface widget, is dynamically enlarged to speed pointing in interfaces. However, with...
Jaime Ruiz, Edward Lank
ICIP
2007
IEEE
16 years 2 months ago
MAP Particle Selection in Shape-Based Object Tracking
The Bayesian filtering for recursive state estimation and the shape-based matching methods are two of the most commonly used approaches for target tracking. The Multiple Hypothesi...
Alessio Dore, Carlo S. Regazzoni, Mirko Musso