Abstract
A time series collected by thermal cameras yields many application possibilities for security monitoring applications. The character of features involved in thermal images is different compared to the images acquired by conventional capturing devices; many methods applicable for conventional image processing cannot directly be applied for thermal images. New methods are introduced in HOSVD based representation of thermal images, and in application of resolution enhancement and data compression. The retrieval process of thermal image databases and useful feature descriptors were analyzed, as well as the special semi-automatic fusion techniques of thermal image sequences.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rövid, A., Szeidl, L., Hashimoto, T.: Numerical reconstruction and compression of thermal image sequences. In: Fifth International Conference on Emerging Trends in Engineering and Technology (ICETET), pp. 298–302 (2012)
Szeidl, L., Várlaki, P.: HOSVD based canonical form for polytopic models of dynamic systems. J. Adv. Comput. Intell. Intell. Inf. 13(1), 52–60. ISSN:1343-0130 (2009)
Szeidl, L., Baranyi, P., Petres, Z., Várlaki, P.: Numerical reconstruction of the HOSVD based canonical form of polytopic dynamic models. In: 3rd International Symposium on Computational Intelligence and Intelligent Informatics, Agadir, Morocco, pp. 111–116 (2007)
Sergyán, S.: Useful and effective feature descriptors in content-based image retrieval of thermal images. In: 4th IEEE International Symposium on Logistics and Industrial Informatics, LINDI, Smolenice, Slovakei, pp. 227–231 (2012)
Sergyán, S.: Edge detection techniques of thermal image. In: IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics, SISY 2012, Subotica, Serbia, pp. 55–58 (2012)
Vámossy, Z.: Thermal image fusion. In: IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics, SISY 2012, Subotica, Serbia, pp. 385–388 (2012)
Zitova, B., Flusser, J.: Image registration methods: a survey. Image Vis. Comput. 21, 977–1000 (2003)
Szeliski, R.: Computer vision: algorithms and applications, p. 812. Springer, Berlin (2011)
Smith, S.M., Brady, J.M.: SUSAN—a new approach to low level image processing. Int. J. Comput. Vision 23(1), 45–78 (1997)
Trajkovic, M., Hedley, M.: Fast corner detection. Image Vis. Comput. 16(2), 75–87 (1998)
Alahi, A., Ortiz, R., Vandergheynst, P.: FREAK: fast retina keypoint. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 510–517 (2012)
Acknowledgements
We acknowledge the financial support of this work by the Hungarian State and the European Union under the TÁMOP-4.2.1B-11/2/KMR-2011-0001 project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Rövid, A., Vámossy, Z., Sergyán, S. (2016). Thermal Image Processing Approaches for Security Monitoring Applications. In: Nádai, L., Padányi, J. (eds) Critical Infrastructure Protection Research. Topics in Intelligent Engineering and Informatics, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-28091-2_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-28091-2_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-28090-5
Online ISBN: 978-3-319-28091-2
eBook Packages: EngineeringEngineering (R0)