Abstract
In the paper, the use of selected algorithms for the detection of specific objects and extraction of their characteristics from static images is presented. The problem concerns the selection of algorithms to be implemented in the ‘SM4Public’ security system for public spaces and is focused on specific system working scenario: detecting vehicles parked in restricted areas. Two popular feature extractors based on the Discrete Cosine Transform and Discrete Fourier Transform were experimentally tested. The paper contains the description of the ‘SM4Public’ system, explanation of the problem and presentation of similar solutions given in the literature. The stress is put on the definition of the employed feature extractors and the description of the experimental results.
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References
Frejlichowski, D., Forczmański, P., Nowosielski, A., Gościewska, K., Hofman, R.: SmartMonitor: an approach to simple, intelligent and affordable visual surveillance system. In: Bolc, L., et al. (eds.) ICCVG 2012. LNCS, vol. 7594, pp. 726–734. Springer, Heidelberg (2012)
Frejlichowski, D., Gościewska, K., Forczmański, P., Nowosielski, A., Hofman, R.: Extraction of the foreground regions by means of the adaptive background modelling based on various colour components for a visual surveillance system. In: Burduk, R., Jackowski, K., Kurzynski, M., Wozniak, M., Zolnierek, A. (eds.) CORES 2013. AISC, vol. 226, pp. 351–360. Springer International Publishing, Switzerland (2013)
Frejlichowski, D., Gościewska, K., Forczmański, P., Hofman, R.: ‘SmartMonitor’ – an intelligent security system for the protection of individuals and small properties with the possibility of home automation. Sensors 14, 9922–9948 (2014)
Frejlichowski, D., Gościewska, K., Forczmański, P., Hofman, R.: Application of foreground object patterns analysis for event detection in an innovative video surveillance system. Pattern Anal. Appl., 1–12 (2014)
Pantrigo, J., Hernández, J., Sánchez, A.: Multiple and variable target visual tracking for video surveillance applications. Pattern Recogn. Lett. 31(12), 1577–1590 (2010)
Fabian, T.: An algorithm for parking lot occupation detection. In: Proceedings of the 7th Computer Information Systems and Industrial Management Applications, pp. 165–170 (2008)
Bin, Z., Dalin, J., Fang, W., Tingting, W.: A design of parking space detector based on video image. In: 9th International Conference on Electronic Measurement & Instruments, pp. 2–253–2-256 (2009)
Maddalena, L., Petrosino, A.: Self organizing and fuzzy modelling for parked vehicles detection. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds.) ACIVS 2009. LNCS, vol. 5807, pp. 422–433. Springer, Heidelberg (2009)
Lee, J.T., Ryoo, M.S., Riley, M., Aggarwal, J.K.: Real-time detection of illegally parked vehicles using 1-D transformation. In: IEEE Conference on Advanced Video and Signal Based Surveillance, pp. 254–259 (2007)
Pamuła, W.: Detection of vehicles in a video stream using spatial frequency domain features. In: Chmielewski, L.J., Kozera, R., Shin, B.-S., Wojciechowski, K. (eds.) ICCVG 2014. LNCS, vol. 8671, pp. 494–501. Springer International Publishing, Switzerland (2014)
Pratt, W.K.: Digital Image Processing: PIKS Inside, 3rd edn. John Wiley & Sons Inc, Hoboken (2001)
Kukharev, G., Nowosielski, A.: Face recognition using simple feature extractors. multimedia and intelligent techniques. Spec. Issue Live Biometrics Secur. 1(1), 87–98 (2005)
Han, F., Shan, Y., Cekander, R., Sawhney, H., Kumar, R.: A two-stage approach to people and vehicle detection with HOG-based SVM. In: Performance Metrics for Intelligent Systems Workshop, pp. 133–140 (2006)
Acknowledgments
The project “Security system for public spaces—‘SM4Public’ prototype construction and implementation” (original title: Budowa i wdrożenie prototypu systemu bezpieczeństwa przestrzeni publicznej ‘SM4Public’) is a project co-founded by European Union (EU) (project number PL: POIG.01.04.00-32-244/13, value: 12.936.684,77 PLN, EU contribution: 6.528.823,81 PLN, realization period: 01.06.2014–31.10.2015). European Funds—for the development of innovative economy (Fundusze Europejskie—dla rozwoju innowacyjnej gospodarki).
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Frejlichowski, D., Gościewska, K., Nowosielski, A., Forczmański, P., Hofman, R. (2015). Detecting Parked Vehicles in Static Images Using Simple Spectral Features in the ‘SM4Public’ System. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2015. Lecture Notes in Computer Science(), vol 9164. Springer, Cham. https://doi.org/10.1007/978-3-319-20801-5_54
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DOI: https://doi.org/10.1007/978-3-319-20801-5_54
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