Acoustic sensor network-based parking lot surveillance system

Keewook Na, Yungeun Kim, Hojung Cha

Research output: Contribution to journalConference article

6 Citations (Scopus)

Abstract

Camera-based surveillance systems are commonly installed in many parking lots as a countermeasure for parking lot accidents. Unfortunately these systems cannot effectively prevent accidents in advance but provide evidence of the accidents or crimes. This paper describes the design, implementation, and evaluation of an acoustic-sensor-network-based parking lot surveillance system. The system uses sensor nodes equipped with low-cost microphones to localize acoustic events such as car alarms or car crash sounds. Once the acoustic event is localized, the cameras are adjusted to the estimated location to monitor and record the current situation. We conducted extensive experiments in a parking lot to validate the performance of the system. The experimental results show that the system achieves reasonable accuracy and performance to localize the events in parking lots. The main contribution of our work is to have applied low-cost acoustic sensor network technologies to a real-life situation and solved many of the practical issues found in the design, development, and evaluation of the system.

Original languageEnglish
Pages (from-to)247-262
Number of pages16
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5432 LNCS
DOIs
Publication statusPublished - 2009 Mar 11
Event6th European Conference on Wireless Sensor Networks, EWSN 2009 - Cork, Ireland
Duration: 2009 Feb 112009 Feb 13

Fingerprint

Parking
Surveillance
Sensor networks
Sensor Networks
Acoustics
Accidents
Railroad cars
Cameras
Crime
Camera
Microphones
Sensor nodes
Costs
Evaluation
Crash
Countermeasures
Acoustic waves
Monitor
Sensor
Experimental Results

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

@article{ded9fe4cf25c45888fccad827c3822ba,
title = "Acoustic sensor network-based parking lot surveillance system",
abstract = "Camera-based surveillance systems are commonly installed in many parking lots as a countermeasure for parking lot accidents. Unfortunately these systems cannot effectively prevent accidents in advance but provide evidence of the accidents or crimes. This paper describes the design, implementation, and evaluation of an acoustic-sensor-network-based parking lot surveillance system. The system uses sensor nodes equipped with low-cost microphones to localize acoustic events such as car alarms or car crash sounds. Once the acoustic event is localized, the cameras are adjusted to the estimated location to monitor and record the current situation. We conducted extensive experiments in a parking lot to validate the performance of the system. The experimental results show that the system achieves reasonable accuracy and performance to localize the events in parking lots. The main contribution of our work is to have applied low-cost acoustic sensor network technologies to a real-life situation and solved many of the practical issues found in the design, development, and evaluation of the system.",
author = "Keewook Na and Yungeun Kim and Hojung Cha",
year = "2009",
month = "3",
day = "11",
doi = "10.1007/978-3-642-00224-3_16",
language = "English",
volume = "5432 LNCS",
pages = "247--262",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Verlag",

}

Acoustic sensor network-based parking lot surveillance system. / Na, Keewook; Kim, Yungeun; Cha, Hojung.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 5432 LNCS, 11.03.2009, p. 247-262.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Acoustic sensor network-based parking lot surveillance system

AU - Na, Keewook

AU - Kim, Yungeun

AU - Cha, Hojung

PY - 2009/3/11

Y1 - 2009/3/11

N2 - Camera-based surveillance systems are commonly installed in many parking lots as a countermeasure for parking lot accidents. Unfortunately these systems cannot effectively prevent accidents in advance but provide evidence of the accidents or crimes. This paper describes the design, implementation, and evaluation of an acoustic-sensor-network-based parking lot surveillance system. The system uses sensor nodes equipped with low-cost microphones to localize acoustic events such as car alarms or car crash sounds. Once the acoustic event is localized, the cameras are adjusted to the estimated location to monitor and record the current situation. We conducted extensive experiments in a parking lot to validate the performance of the system. The experimental results show that the system achieves reasonable accuracy and performance to localize the events in parking lots. The main contribution of our work is to have applied low-cost acoustic sensor network technologies to a real-life situation and solved many of the practical issues found in the design, development, and evaluation of the system.

AB - Camera-based surveillance systems are commonly installed in many parking lots as a countermeasure for parking lot accidents. Unfortunately these systems cannot effectively prevent accidents in advance but provide evidence of the accidents or crimes. This paper describes the design, implementation, and evaluation of an acoustic-sensor-network-based parking lot surveillance system. The system uses sensor nodes equipped with low-cost microphones to localize acoustic events such as car alarms or car crash sounds. Once the acoustic event is localized, the cameras are adjusted to the estimated location to monitor and record the current situation. We conducted extensive experiments in a parking lot to validate the performance of the system. The experimental results show that the system achieves reasonable accuracy and performance to localize the events in parking lots. The main contribution of our work is to have applied low-cost acoustic sensor network technologies to a real-life situation and solved many of the practical issues found in the design, development, and evaluation of the system.

UR - http://www.scopus.com/inward/record.url?scp=61649125452&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=61649125452&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-00224-3_16

DO - 10.1007/978-3-642-00224-3_16

M3 - Conference article

VL - 5432 LNCS

SP - 247

EP - 262

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -