Abstract
In this chapter, we proposed biological-like methods of video content analysis. The method is based on two-zone structures. We also introduced a new term—detectors fields, which represents a set of two-zone structures (detectors). Moreover, we proposed and described a drift mechanism of the detectors field. We show that using the detectors fields allows to reduce the size of the processed image but keep all significant features. Thus, it is possible to reduce information flow to the next step of image processing. Redundancy reduction facilitated the implementation of quasi-optimal real-time filtering similar to Wiener–Hopf method. It is shown that processing of the distorted image by detectors field enables to determine characteristics of motion blur and compensate it in the output image.
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Bogoslovsky, A.V., Ponomarev, A.V., Zhigulina, I.V. (2020). Detectors Fields. In: Favorskaya, M., Jain, L. (eds) Computer Vision in Control Systems—6. Intelligent Systems Reference Library, vol 182. Springer, Cham. https://doi.org/10.1007/978-3-030-39177-5_4
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DOI: https://doi.org/10.1007/978-3-030-39177-5_4
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