Skip to main content
Top

2017 | OriginalPaper | Chapter

9. Performance Evaluation of Video Analytics for Traffic Incident Detection and Vehicle Counts Collection

Authors : Kitae Kim, Slobodan Gutesa, Branislav Dimitrijevic, Joyoung Lee, Lazar Spasovic, Wasif Mirza, Jeevanjot Singh

Published in: Recent Advances in Intelligent Image Search and Video Retrieval

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Current incident detection and traffic monitoring method using closed-circuit television (CCTV) cameras meets with limitations as the coverage of CCTV cameras rapidly expands. In general, traffic operators at Traffic Operation Center (TOC) have to manage and monitor numerous CCTV cameras deployed on roadways. Thus, many transportation agencies consider the use of video analytics system to reduce incident detection time and minimize traffic impacts, but they also want to validate the performance of the video analytics system whether it can work with their existing video surveillance infrastructure before procuring the system. To that end, a pilot study was designed and conducted to evaluate the accuracy of a video analytics product by integrating with CCTV cameras deployed on highways. The pilot study was designed to evaluate the accuracy of video analytics in detecting incidents and collecting traffic counts. The test results show that the performance of video analytics is significantly impacted by video quality and other environmental factors such as lighting and weather conditions.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Chowdhury, M.A.: Benefit cost analysis of accelerated incident clearance. Cell 136(2), 215–233 (2007) Chowdhury, M.A.: Benefit cost analysis of accelerated incident clearance. Cell 136(2), 215–233 (2007)
2.
go back to reference Chintalacheruvu, N.: Video based vehicle detection and its application in intelligent transportation systems. J. Transp. Technol. 2(04), 305 (2012) Chintalacheruvu, N.: Video based vehicle detection and its application in intelligent transportation systems. J. Transp. Technol. 2(04), 305 (2012)
3.
go back to reference Michalopoulos, P.G.: Vehicle detection video through image processing: the autoscope system. IEEE Trans. Veh. Technol. 40(1), 21–29 (1991)CrossRef Michalopoulos, P.G.: Vehicle detection video through image processing: the autoscope system. IEEE Trans. Veh. Technol. 40(1), 21–29 (1991)CrossRef
4.
go back to reference Gupte, S., Masoud, O., Martin, R., Papanikolopoulos, N.: Detection and classification of vehicles. IEEE Trans. Intell. Transp. Syst. 3(1), 37–47 (2002)CrossRef Gupte, S., Masoud, O., Martin, R., Papanikolopoulos, N.: Detection and classification of vehicles. IEEE Trans. Intell. Transp. Syst. 3(1), 37–47 (2002)CrossRef
5.
go back to reference Kanhere, N., Birchfield, S., Sarasua, W., Whitney, T.: Real-time detection and tracking of vehicle base fronts for measuring traffic counts and speeds on highways. Transp. Res. Rec. J. Transp. Res. Board 1993, 155–164 (2007) Kanhere, N., Birchfield, S., Sarasua, W., Whitney, T.: Real-time detection and tracking of vehicle base fronts for measuring traffic counts and speeds on highways. Transp. Res. Rec. J. Transp. Res. Board 1993, 155–164 (2007)
6.
go back to reference Zhang, G., Avery, R., Wang, Y.: Video-based vehicle detection and classification system for real-time traffic data collection using uncalibrated video cameras. Transp. Res. Rec. J. Transp. Res. Board 1993, 138–147 (2007) Zhang, G., Avery, R., Wang, Y.: Video-based vehicle detection and classification system for real-time traffic data collection using uncalibrated video cameras. Transp. Res. Rec. J. Transp. Res. Board 1993, 138–147 (2007)
7.
go back to reference Malinovskiy, Y., Wu, Y., Wang, Y.: Video-based vehicle detection and tracking using spatiotemporal maps. Transp. Res. Rec. J. Transp. Res. Board 2121, 81–89 (2009)CrossRef Malinovskiy, Y., Wu, Y., Wang, Y.: Video-based vehicle detection and tracking using spatiotemporal maps. Transp. Res. Rec. J. Transp. Res. Board 2121, 81–89 (2009)CrossRef
8.
go back to reference Prevedouros, P., Ji, X., Papandreou, K., Kopelias, P., Vegiri, V.: Video incident detection tests in freeway tunnels. Transp. Res. Rec. J. Transp. Res. Board 1959, 130–139 (2006) Prevedouros, P., Ji, X., Papandreou, K., Kopelias, P., Vegiri, V.: Video incident detection tests in freeway tunnels. Transp. Res. Rec. J. Transp. Res. Board 1959, 130–139 (2006)
9.
go back to reference Huang, Y., Buckles, B.: Low cost wireless network camera sensors for traffic monitoring. Cell 136(2), 215–233 (2012) Huang, Y., Buckles, B.: Low cost wireless network camera sensors for traffic monitoring. Cell 136(2), 215–233 (2012)
10.
go back to reference Dong, N., Jia, Z., Shao, J., Li, Z., Liu, F., Zhao, J., Peng, P.: Adaptive object detection and visibility improvement in foggy image. J. Multimedia 6(1), 14–21 (2011)CrossRef Dong, N., Jia, Z., Shao, J., Li, Z., Liu, F., Zhao, J., Peng, P.: Adaptive object detection and visibility improvement in foggy image. J. Multimedia 6(1), 14–21 (2011)CrossRef
11.
go back to reference Jeon, J., Yoon, I., Kim, D., Lee, J., Paik, J.: Fully digital auto-focusing system with automatic focusing region selection and point spread function estimation. IEEE Trans. Consum. Electron. 56(3), 1204–1210 (2010)CrossRef Jeon, J., Yoon, I., Kim, D., Lee, J., Paik, J.: Fully digital auto-focusing system with automatic focusing region selection and point spread function estimation. IEEE Trans. Consum. Electron. 56(3), 1204–1210 (2010)CrossRef
12.
go back to reference Sharrab, Y.O., Sarhan, N.J.: Accuracy and power consumption tradeoffs in video rate adaptation for computer vision applications. In: Proceedings of Multimedia and Expo (ICME), pp. 410–415 Sharrab, Y.O., Sarhan, N.J.: Accuracy and power consumption tradeoffs in video rate adaptation for computer vision applications. In: Proceedings of Multimedia and Expo (ICME), pp. 410–415
13.
go back to reference Murino, V., Foresti, G., Regazzoni, C.: Adaptive camera regulation for investigation of real scenes. IEEE Trans. Industr. Electron. 43(5), 588–600 (1996)CrossRef Murino, V., Foresti, G., Regazzoni, C.: Adaptive camera regulation for investigation of real scenes. IEEE Trans. Industr. Electron. 43(5), 588–600 (1996)CrossRef
14.
go back to reference Parkany, E., Xie, C.: A complete review of incident detection algorithms and their deployment: what works and what doesn’t. IEEE Trans. Industr. Electron. 43(5), 588–600 (2005) Parkany, E., Xie, C.: A complete review of incident detection algorithms and their deployment: what works and what doesn’t. IEEE Trans. Industr. Electron. 43(5), 588–600 (2005)
15.
go back to reference Wan, Y., Huang, Y., Buckles, B.: Camera calibration and vehicle tracking: highway traffic video analytics. Transp. Res. Part C Emerg. Technol. 44, 202–213 (2014)CrossRef Wan, Y., Huang, Y., Buckles, B.: Camera calibration and vehicle tracking: highway traffic video analytics. Transp. Res. Part C Emerg. Technol. 44, 202–213 (2014)CrossRef
16.
go back to reference Grant, C., Gillis, B., Guensler, R.: Collection of vehicle activity data by video detection for use in transportation planning. J. Intell. Transp. Syst. 5(4), 343–361 (2000) Grant, C., Gillis, B., Guensler, R.: Collection of vehicle activity data by video detection for use in transportation planning. J. Intell. Transp. Syst. 5(4), 343–361 (2000)
17.
go back to reference Joshi, A., Atev, S., Fehr, D., Drenner, A., Bodor, R., Masoud, O., Papanikolopoulos, N.: Freeway network traffic detection and monitoring incidents. Cell 136(2), 215–233 (2007) Joshi, A., Atev, S., Fehr, D., Drenner, A., Bodor, R., Masoud, O., Papanikolopoulos, N.: Freeway network traffic detection and monitoring incidents. Cell 136(2), 215–233 (2007)
18.
go back to reference Preisen, L., Deeter, D.: Next generation traffic data and incident detection from video. Cell 136(2), 215–233 (2014) Preisen, L., Deeter, D.: Next generation traffic data and incident detection from video. Cell 136(2), 215–233 (2014)
19.
go back to reference Martin, P.T.: Evaluation of UDOT’S video detection systems: system’s performance in various test conditions. Cell 136(2), 215–233 (2004) Martin, P.T.: Evaluation of UDOT’S video detection systems: system’s performance in various test conditions. Cell 136(2), 215–233 (2004)
20.
go back to reference Shen, M., Kuo, C.: Review of postprocessing techniques for compression artifact removal. J. Vis. Commun. Image Represent. 9(1), 2–14 (1998)CrossRef Shen, M., Kuo, C.: Review of postprocessing techniques for compression artifact removal. J. Vis. Commun. Image Represent. 9(1), 2–14 (1998)CrossRef
Metadata
Title
Performance Evaluation of Video Analytics for Traffic Incident Detection and Vehicle Counts Collection
Authors
Kitae Kim
Slobodan Gutesa
Branislav Dimitrijevic
Joyoung Lee
Lazar Spasovic
Wasif Mirza
Jeevanjot Singh
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-52081-0_9

Premium Partner