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CRV
2009
IEEE
139views Robotics» more  CRV 2009»
13 years 6 months ago
A Multiple Hypothesis Tracking Method with Fragmentation Handling
In this paper, we present a new multiple hypotheses tracking (MHT) approach. Our tracking method is suitable for online applications, because it labels objects at every frame and ...
Atousa Torabi, Guillaume-Alexandre Bilodeau
ICCV
2003
IEEE
14 years 11 months ago
Video Google: A Text Retrieval Approach to Object Matching in Videos
We describe an approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video. The object is represented by a set...
Josef Sivic, Andrew Zisserman
HRI
2006
ACM
14 years 2 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
CVPR
2007
IEEE
14 years 3 months ago
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Qian Yu, Gérard G. Medioni, Isaac Cohen
CVPR
2005
IEEE
14 years 11 months ago
Decentralized Multiple Target Tracking Using Netted Collaborative Autonomous Trackers
This paper presents a decentralized approach to multiple target tracking. The novelty of this approach lies in the use of a set of autonomous while collaborative trackers to overc...
Ting Yu, Ying Wu