Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Comparison of Statistical Features for Medical Colour Image Classification Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Image Saliency Applied to Infrared Images for Unmanned Maritime Monitoring

Authors : Gonçalo Cruz, Alexandre Bernardino

Published in: Computer Vision Systems

Publisher: Springer International Publishing

Log in

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

search-config
loading …

Abstract

This paper presents a method to detect boats and life rafts on long wave infrared (LWIR) images, captured by an aerial platform. The method applies the concept of image saliency to highlight distinct areas on the images. However saliency algorithms always highlight salient points in the image, even in the absence of targets. We propose a statistical method based on the saliency algorithm output to distinguish frames with or without targets. To evaluate the detection algorithm, we have equipped a fixed wing unmanned aerial vehicle with a LWIR camera and gathered a dataset with more than 44000 frames, containing several boats and a life raft. The proposed detection strategy demonstrates a good performance, specially, a low rate of false positives and low computational complexity.

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!

inform now

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!

inform now

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!

inform now
previous chapter Online Re-calibration for Robust 3D Measurement Using Single Camera- PantoInspect Train Monitoring System
next chapter CBIR Service for Object Identification
Literature
1.
Brian, T., Laczko, F.: Fatal Journeys Tracking Lives Lost during Migration, 1st edn. International Organization for Migration, Geneva (2014)
2.
Joint Agency Coordination Center: Search for MH370 Facts and statistics. Technical report, Australian Government, April 2014
3.
Dawkins, M., et al.: Tracking nautical objects in real-time via layered saliency detection. In: SPIE Defense + Security. International Society for Optics and Photonics, p. 908903 (2014)
4.
Dollar, P., et al.: Pedestrian detection: an evaluation of the state of the art. IEEE Trans. Pattern Anal. Mach. Intell. 34(4), 743–761 (2012)CrossRef
5.
Donaldson, P.: Cloudy skies. Unmanned Veh. 18(5), 32–34 (2013)
6.
Hou, X., Harel, J., Koch, C.: Image signature: highlighting sparse salient regions. IEEE Trans. Pattern Anal. Mach. Intell. 34(1), 194–201 (2011)
7.
Hou, X., Zhang, L.: Saliency detection: a spectral residual approach. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 800 (2007)
8.
Itti, L., Koch, C., Niebur, E.: A model of saliency-based visual attention for rapid scene analysis. IEEE Pattern Anal. Mach. Intell. 20(11), 1254–1259 (1998)CrossRef
9.
Kang, H.K.: Gulf of Aden vs Malacca Strait: Piracy and Counter-piracy efforts. Institute of Peace and Conflict Studies (2009)
10.
Kontitsis, M., Valavanis, K.P., Tsourveloudis, N.: A UAV vision system for airborne surveillance. In: Proceedings of the IEEE International Conference on Robotics and Automation, ICRA 2004, vol. 1 (2004)
11.
Maritime Security and Surveillance - Case Study. Technical report. Centre for Strategy and Evaluation Services, January 2011
12.
Merino, L., et al.: An unmanned aircraft system for automatic forest fire monitoring and measurement. J. Intell. Robot. Syst. Theory Appl. 65, 533–548 (2012)CrossRef
13.
Otsu, N.: A threshold selection method from gray-level histograms. Automatica 11(285–296), 23–27 (1975)
14.
Rabiner, L.: A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 77(2), 257–286 (1989)CrossRef
15.
Rathinam, S., et al.: Autonomous searching and tracking of a river using an UAV. In: Proceedings of the American Control Conference, pp. 359–364 (2007)
16.
Rudol, P., Doherty, P.: Human body detection and geolocalization for UAV search and rescue missions using color and thermal imagery. In: IEEE Aerospace Conference Proceedings (2008)
17.
Teutsch, M., Kruger, W.: Classification of small boats in infrared images for maritime surveillance. In: 2010 International WaterSide Security Conference, pp. 1–7, November 2010
18.
Teutsch, M., Kruger, W.: Detection, segmentation, and tracking of moving objects in UAV videos. In: 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance, pp. 313–318 (2012)
19.
Toet, A.: Detection of dim point targets in cluttered maritime backgrounds through multisensor image fusion. In: AeroSense 2002, vol. 4718, pp. 118–129 (2002)
20.
Venkateswarlu, R., et al.: Design considerations of IRST system. In: AeroSense 1997. International Society for Optics and Photonics, pp. 591–602 (1997)
21.
Wadsworth, A., et al.: Aircraft experiments with visible and infrared sensors. Int. J. Remote Sens. 13(6–7), 1175–1199 (1992)CrossRef
22.
Westall, P., et al.: Improved maritime target tracker using colour fusion. In: International Conference on High Performance Computing & Simulation, HPCS 2009, pp. 230–236 (2009)
23.
Xiang, T., Yan, L., Gao, R.: A fusion algorithm for infrared and visible images based on adaptive dual-channel unit-linking PCNN in NSCT domain. Infrared Phys. Technol. 69, 53–61 (2015)CrossRef
24.
Zhang, S.: Object tracking in unmanned aerial vehicle (UAV) videos using a combined approach. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 2005), vol. 2, pp. 681–684 (2005)
Metadata
Title
Image Saliency Applied to Infrared Images for Unmanned Maritime Monitoring
Authors
Gonçalo Cruz
Alexandre Bernardino
Copyright Year
2015
Book
Computer Vision Systems

Print ISBN: 978-3-319-20903-6

Electronic ISBN: 978-3-319-20904-3

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-20904-3_46

Premium Partner

    Image Credits