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196
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CVPR
2009
IEEE
16 years 8 months ago
Tracking of a Non-Rigid Object via Patch-based Dynamic Appearance Modeling and Adaptive Basin Hopping Monte Carlo Sampling
We propose a novel tracking algorithm for the target of which geometric appearance changes drastically over time. To track it, we present a local patch-based appearance model and p...
Junseok Kwon (Seoul National University), Kyoung M...
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
15 years 10 months ago
GATMO: A Generalized Approach to Tracking Movable Objects
— We present GATMO (Generalized Approach to Tracking Movable Objects), a system for localization and mapping that incorporates the dynamic nature of the environment while maintai...
Garratt Gallagher, Siddhartha S. Srinivasa, J. And...
ICIP
2006
IEEE
15 years 10 months ago
Recursive Clustering for Multiple Object Tracking
In this paper, we propose a method to track multiple deformable objects in video sequences using a recursive clustering scheme. In a first step, a set of Gabor filter banks is u...
Séverine Dubuisson
130
Voted
CVPR
2005
IEEE
16 years 5 months ago
Multiple Object Tracking with Kernel Particle Filter
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar
154
Voted
ICCV
2001
IEEE
16 years 5 months ago
Continuous Global Evidence-Based Bayesian Modality Fusion for Simultaneous Tracking of Multiple Objects
Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
Jamie Sherrah, Shaogang Gong