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» Real-Time Tracking Using Multiple Target Models
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HRI
2006
ACM
15 years 8 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
ICCV
2011
IEEE
13 years 11 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
141
Voted
ICIP
2007
IEEE
16 years 3 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
109
Voted
IUI
2010
ACM
15 years 11 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
115
Voted
ICIP
2007
IEEE
16 years 3 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