Automatic tracking of objects in computerized image-processing systems

Фисенко В.Т., Можейко В.И., Фисенко Т.Ю. Автоматическое сопровождение объектов в компьютерных системах обработки изображений // Оптический журнал. 2007. Т. 74. № 11. С. 39–46.

Fisenko V.T., Mozheiko V.I., Fisenko T.Yu. Automatic tracking of objects in computerized image-processing systems [in Russian] // Opticheskii Zhurnal. 2007. V. 74. № 11. P. 39–46.

V. T. Fisenko, V. I. Mozheĭko, and T. Yu. Fisenko, "Automatic tracking of objects in computerized image-processing systems," Journal of Optical Technology. 74 (11), 752-758 (2007). https://doi.org/10.1364/JOT.74.000752

An adaptive method has been developed for the automatic tracking of objects from a sequence of digital television-image signals. The method is based on a combination of the segmentation and matched-filtering methods. Invariance to changes of the size, shape, and statistical characteristics of the object is achieved by regenerating the data of the reference array. Matched filtering is accomplished using a grey-scale image in the region of higher spatial frequencies from a binary mask of the reference array. Dynamic signal accumulation provides high noise immunity, and this makes it possible to track objects on a complex background with a small SNR.