سال انتشار: ۱۳۹۰

محل انتشار: هفتمین کنفرانس ماشین بینایی و پردازش تصویر

تعداد صفحات: ۵

نویسنده(ها):

Meraj Ghaderian – Msc Student, Faculty of Engineering, Shahed University, Tehran, Iran
Alireza Behrad – Faculty of Engineering, Shahed University, Tehran, Iran
Samere Abbasi Dine Kaboodi – Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran

چکیده:

In this article, a new method for detecting periodicmotions in image sequences based on one-dimensional featuresis presented. The method starts by the detection of movingobject in the consecutive frames. Then the contours of themoving target are extracted and one-dimensional features areconstituted. The features are based on the calculated distancefrom target contour to its bounding box sides in four directions.By applying the autocorrelation to the calculated distances,four one-dimensional curves are obtained and the periodicity ofthe target motion is evaluated. The proposed algorithm wastested with a database of 100 videos and experimental resultsshowed the efficiency of the proposed algorithm.