Abstract
Correlation filters used for object detection are commonly designed using explicit knowledge of the target appearance and the target shape. This assumption requires that the image of a target used for the filter design be manually processed. In this paper, we suppose that the target is given at unknown coordinates in a reference image corrupted by additive noise. Optimum correlation filter with respect to the peak-to-output energy ratio for object detection is derived. Computer simulation results are presented comparing the performance of the proposed filter with that of common correlation filters.
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Se Hyun Park, Eun Yi Kim, Sang Won Hwang, Yeon Chul Lee, and Hang Joo Kim, “Face detection for security system on the Internet,” in Proc. Int. Conf. on Consumer Electronics, IEEE Cat. No.01CH37182, Los Angeles, CA, USA, June 19–21, 2001 (IEEE, New York, 2001), pp. 276–277.
Jae-Sung Kwon, Jong-Min Lee, and Whoi-Yul Kim, “Real-time detection of foreign objects using X-ray imaging for dry food manufacturing line,” in 2008 IEEE Int. Symp. on Consumer Electronics, Vilamoura, Portugal, 2008 (IEEE, New York, 2008), pp. 1–4.
A. van der Lugt, “Signal detection by complex spatial filtering,” IEEE Trans. Inf. Theory 10, 139–145 (1964).
D. Casasent and Anqi Ye, “Detection filters and algorithm fusion for ATR,” IEEE Trans. Image Process., 6, 114–125 (1997).
B. V. K. V. Kumar, M. Savvides, and C. Xie, “Correlation Pattern Recognition for Face Recognition,” Proc. IEEE 94, 1963–1976 (2006).
Yi Li, Zhiyan Wang, and Haizan Zeng, “Correlation filter: an accurate approach to detect and locate low contrast character strings in complex table environment,” IEEE Trans. Pattern. Anal. Mach. Intell. 26, 1639–1644 (2004).
E. Perez and B. Javidi, “Nonlinear distortion-tolerant filters for detection of road signs in background noise,” IEEE Trans. Veh. Technol. 51, 567–576 (2002).
V. Kober and J. Campos, “Accuracy of location measurement of a noisy target in a nonoverlapping background,” J. Opt. Soc. Am. A 13, 1653–1666 (1996).
B. V. K. V. Kumar, A. Mahalanobis, and R. Juday, Correlation Pattern Recognition (Cambridge Univ. Press, Cambridge, 2005).
V. H. Díaz-Ramírez, V. Kober, and J. Álvarez-Borrego, “Pattern recognition with an adaptive joint transform correlator,” Appl. Opt., 45, 5929–5941 (2006).
B. V. K. V. Kumar and L. Hassebrook, “Performance measures for correlation filters,” Appl. Opt. 29, 2997–3006 (1990).
B. Javidi and J. Wang, “Design of filters to detect a noisy target in nonoverlapping background noise,” J. Opt. Soc. Am. A 11, 2604–2612 (1994).
D. Casasent, “Unified synthetic discriminant function computational formulation,” Appl. Opt. 23, 1620–1627 (1984).
A. Mahalanobis, B. V. K. V. Kumar, and D. Casasent, Appl. Opt. 26, 3633–3640 (1987).
E. M. Ramos-Michel and V. Kober, “Adaptive composite filters for pattern recognition in linearly degraded and noisy scenes,” Opt. Eng. 47, 047204 (2008).
A. Jain, Fundamentals of Digital Image Processing (Prentice Hall, New York, 1989).
R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd Ed., (Wiley-Interscience, New York, 2000).
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Original Russian Text © V.I. Kober, P.M. Aguilar-González, V.N. Karnaukhov, 2001, published in Informatsionnye Protsessy, 2001, Vol. 1, No. 1, pp. 1–8.
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Kober, V.I., Aguilar-González, P.M. & Karnaukhov, V.N. Automated object detection with a correlation filter designed from a noisy image. J. Commun. Technol. Electron. 59, 571–575 (2014). https://doi.org/10.1134/S1064226914060035
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DOI: https://doi.org/10.1134/S1064226914060035