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Methods of processing video sequences based on the analysing the energy parameters of the video images

Keywords:

A.V. Bogoslovsky – Dr. Sc. (Eng.), Professor, Department of Higher Mathematics, Tambov state technical University. E-mail: p-digim@mail.ru I.V. Zhigulina – Ph. D. (Eng.), Associate Professor, Department of Applied Mathematics and Mechanics, Tambov state technical University. E-mail: irazhigulina@gmail.com I.S. Maslov – Post-graduate Student, Department of Radio Engineering, Tambov state technical University. E-mail: klewer_tambov@mail.ru


When processing video sequences is of particular importance for effective detection of moving objects and determining motion parameters. As the use of energy spectra to determine the traffic is very inconvenient, for ease of use it is advisable to convert the differential energy spectra. Instead of the differential energy spectra can be considered the difference of the energy characteristics, which have greater visibility. More informative for determining the position of a moving object is the phase of the spatial spectrum. Since the use photocasting spectrum is also difficult, as the energy spectrum, it uses a phase-energy response. When working with real images to determine the position of a moving object in the frame is difficult using only the interframe differences between energy and phase-energy performances. Therefore, to improve the efficiency of detection of moving objects and determine the object\'s position and speed of its movement serves pixel reset the pixels of the image. After determining the position of the left edge of a moving object is consistent zeroing groups of pixels and a characteristic change frame-to-frame difference energy performance is determined by the amount of movement of a moving object. The resulting algorithms can effectively detect the moving object and the characteristics of its motion. Considered a limited number of processing algorithms. The use of frequency characteristics allows to realize a large number of modes due to the manipulation of data samples of the video signals.
References:

 

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