Algorithm for detection with localization of multi-targets in wireless acoustic sensor networks

Jaechan Lim; Jinseok Lee; Sangjin Hong; Peom Park

doi:10.1109/ICTAI.2006.28

Algorithm for detection with localization of multi-targets in wireless acoustic sensor networks

Jaechan Lim
, Jinseok Lee
, Sangjin Hong
, Peom Park

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

6 Citations (Scopus)

Abstract

In most multitarget tracking approaches based on Joint Probabilistic Data Association (JPDA), it is difficult to apply the solutions to problems (due to the dimensionality curse of heavy complexity) where the number of target varies dramatically. In this paper, we introduce an Algorithm for Detection of Multitargets in Wireless Acoustic Sensor Networks (ADMAN); we localize detected targets by particle filtering after ADMAN. The purpose of ADMAN is detecting any number of targets (We know the approximate locations of targets during the detection algorithm.) in the field of interest. The advantage of ADMAN is its ability to cope with varying number of targets in time. ADMAN does not have any restrictions on the varying pattern of the target number.

Original language	English
Title of host publication	Procedings - 18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006
Pages	547-554
Number of pages	8
DOIs	https://doi.org/10.1109/ICTAI.2006.28
Publication status	Published - 2006
Event	18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006 - Arlington, VA, United States Duration: 13 Oct 2006 → 15 Oct 2006

Publication series

Name	Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
ISSN (Print)	1082-3409

Conference

Conference	18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006
Country/Territory	United States
City	Arlington, VA
Period	13/10/06 → 15/10/06

Access to Document

10.1109/ICTAI.2006.28

Cite this

Lim, J., Lee, J., Hong, S., & Park, P. (2006). Algorithm for detection with localization of multi-targets in wireless acoustic sensor networks. In Procedings - 18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006 (pp. 547-554). Article 4031943 (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI). https://doi.org/10.1109/ICTAI.2006.28

@inproceedings{4980a24f6974434b9395b70a99410840,

title = "Algorithm for detection with localization of multi-targets in wireless acoustic sensor networks",

abstract = "In most multitarget tracking approaches based on Joint Probabilistic Data Association (JPDA), it is difficult to apply the solutions to problems (due to the dimensionality curse of heavy complexity) where the number of target varies dramatically. In this paper, we introduce an Algorithm for Detection of Multitargets in Wireless Acoustic Sensor Networks (ADMAN); we localize detected targets by particle filtering after ADMAN. The purpose of ADMAN is detecting any number of targets (We know the approximate locations of targets during the detection algorithm.) in the field of interest. The advantage of ADMAN is its ability to cope with varying number of targets in time. ADMAN does not have any restrictions on the varying pattern of the target number.",

author = "Jaechan Lim and Jinseok Lee and Sangjin Hong and Peom Park",

year = "2006",

doi = "10.1109/ICTAI.2006.28",

language = "English",

isbn = "0769527280",

series = "Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI",

pages = "547--554",

booktitle = "Procedings - 18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006",

note = "18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006 ; Conference date: 13-10-2006 Through 15-10-2006",

}

Lim, J, Lee, J, Hong, S & Park, P 2006, Algorithm for detection with localization of multi-targets in wireless acoustic sensor networks. in Procedings - 18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006., 4031943, Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, pp. 547-554, 18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006, Arlington, VA, United States, 13/10/06. https://doi.org/10.1109/ICTAI.2006.28

Algorithm for detection with localization of multi-targets in wireless acoustic sensor networks. / Lim, Jaechan; Lee, Jinseok; Hong, Sangjin et al.
Procedings - 18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006. 2006. p. 547-554 4031943 (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI).

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

TY - GEN

T1 - Algorithm for detection with localization of multi-targets in wireless acoustic sensor networks

AU - Lim, Jaechan

AU - Lee, Jinseok

AU - Hong, Sangjin

AU - Park, Peom

PY - 2006

Y1 - 2006

N2 - In most multitarget tracking approaches based on Joint Probabilistic Data Association (JPDA), it is difficult to apply the solutions to problems (due to the dimensionality curse of heavy complexity) where the number of target varies dramatically. In this paper, we introduce an Algorithm for Detection of Multitargets in Wireless Acoustic Sensor Networks (ADMAN); we localize detected targets by particle filtering after ADMAN. The purpose of ADMAN is detecting any number of targets (We know the approximate locations of targets during the detection algorithm.) in the field of interest. The advantage of ADMAN is its ability to cope with varying number of targets in time. ADMAN does not have any restrictions on the varying pattern of the target number.

AB - In most multitarget tracking approaches based on Joint Probabilistic Data Association (JPDA), it is difficult to apply the solutions to problems (due to the dimensionality curse of heavy complexity) where the number of target varies dramatically. In this paper, we introduce an Algorithm for Detection of Multitargets in Wireless Acoustic Sensor Networks (ADMAN); we localize detected targets by particle filtering after ADMAN. The purpose of ADMAN is detecting any number of targets (We know the approximate locations of targets during the detection algorithm.) in the field of interest. The advantage of ADMAN is its ability to cope with varying number of targets in time. ADMAN does not have any restrictions on the varying pattern of the target number.

UR - https://www.scopus.com/pages/publications/38949211077

U2 - 10.1109/ICTAI.2006.28

DO - 10.1109/ICTAI.2006.28

M3 - Conference contribution

AN - SCOPUS:38949211077

SN - 0769527280

SN - 9780769527284

T3 - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

SP - 547

EP - 554

BT - Procedings - 18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006

T2 - 18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006

Y2 - 13 October 2006 through 15 October 2006

ER -

Algorithm for detection with localization of multi-targets in wireless acoustic sensor networks

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