REAL TIME OBJECT MONITORING USING ADAPTIVE CORRELATION FILTER
Abstract
Real time localization of a moving or stationary object in a video stream is one of the most complex tasks in video processing due to changing background conditions or full / partial object overlaps is considered. For present moment, a number of techniques and solution proposed, nevertheless the task is still actual and no one can speak about revolutionary breakthrough. Present article describes real-time object tracking algorithm based on adaptive correlation filter usage. The algorithm is autonomous and doesn't need parameters adjustments from the beginning till the end of its functioning.
About the Authors
A. M. Polonevitch
Закрытое акционерное общество «ЦНИП»
Belarus
Belarus
M. P. Revotjuk
Белорусский государственный университет информатики и радиоэлектроники
Belarus
Belarus
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Review
For citations:
Polonevitch A.M., Revotjuk M.P. REAL TIME OBJECT MONITORING USING ADAPTIVE CORRELATION FILTER. Doklady BGUIR. 2015;(7):45-50. (In Russ.)
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