An adaptive fusion architecture for target tracking

Gareth Loy; Luke Fletcher; Nicholas Apostoloff; Alexander Zelinsky

doi:10.1109/AFGR.2002.1004164

An adaptive fusion architecture for target tracking

Gareth Loy, Luke Fletcher, Nicholas Apostoloff, Alexander Zelinsky

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

57 Citations (Scopus)

Abstract

A vision system is demonstrated that adaptively allocates computational resources over multiple cues to robustly track a target in 3D. The system uses a particle filter to maintain multiple hypotheses of the target location. Bayesian probability theory provides the framework for sensor fusion, and resource scheduling is used to intelligently allocate the limited computational resources available across the suite of cues. The system is shown to track a person in 3D space moving in a cluttered environment.

Original language	English
Title of host publication	Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002
Publisher	IEEE Computer Society
Pages	261-266
Number of pages	6
ISBN (Print)	0769516025, 9780769516028
DOIs	https://doi.org/10.1109/AFGR.2002.1004164
Publication status	Published - 2002
Event	5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002 - Washington, DC, United States Duration: 20 May 2002 → 21 May 2002

Publication series

Name	Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002

Conference

Conference	5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002
Country/Territory	United States
City	Washington, DC
Period	20/05/02 → 21/05/02

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10.1109/AFGR.2002.1004164

Cite this

Loy, G., Fletcher, L., Apostoloff, N., & Zelinsky, A. (2002). An adaptive fusion architecture for target tracking. In Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002 (pp. 261-266). Article 1004164 (Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002). IEEE Computer Society. https://doi.org/10.1109/AFGR.2002.1004164

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abstract = "A vision system is demonstrated that adaptively allocates computational resources over multiple cues to robustly track a target in 3D. The system uses a particle filter to maintain multiple hypotheses of the target location. Bayesian probability theory provides the framework for sensor fusion, and resource scheduling is used to intelligently allocate the limited computational resources available across the suite of cues. The system is shown to track a person in 3D space moving in a cluttered environment.",

author = "Gareth Loy and Luke Fletcher and Nicholas Apostoloff and Alexander Zelinsky",

year = "2002",

doi = "10.1109/AFGR.2002.1004164",

language = "English",

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series = "Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002",

publisher = "IEEE Computer Society",

pages = "261--266",

booktitle = "Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002",

address = "United States",

note = "5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002 ; Conference date: 20-05-2002 Through 21-05-2002",

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Loy, G, Fletcher, L, Apostoloff, N & Zelinsky, A 2002, An adaptive fusion architecture for target tracking. in Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002., 1004164, Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002, IEEE Computer Society, pp. 261-266, 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002, Washington, DC, United States, 20/05/02. https://doi.org/10.1109/AFGR.2002.1004164

An adaptive fusion architecture for target tracking. / Loy, Gareth; Fletcher, Luke; Apostoloff, Nicholas et al.
Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002. IEEE Computer Society, 2002. p. 261-266 1004164 (Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - A vision system is demonstrated that adaptively allocates computational resources over multiple cues to robustly track a target in 3D. The system uses a particle filter to maintain multiple hypotheses of the target location. Bayesian probability theory provides the framework for sensor fusion, and resource scheduling is used to intelligently allocate the limited computational resources available across the suite of cues. The system is shown to track a person in 3D space moving in a cluttered environment.

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Loy G, Fletcher L, Apostoloff N, Zelinsky A. An adaptive fusion architecture for target tracking. In Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002. IEEE Computer Society. 2002. p. 261-266. 1004164. (Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002). doi: 10.1109/AFGR.2002.1004164

An adaptive fusion architecture for target tracking

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