期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2240
页码：48-53
出版社：Newswood and International Association of Engineers
摘要：Detection of moving objects in sequences of images
is an important research field, with applications for surveillance,
tracking and object recognition among others. An algorithm
to estimate motion in video image sequences, with moving
object distinction and differentiation, is proposed. The motion
estimation is based in three consecutive RGB image frames,
which are converted to gray scale and filtered, before being used
to calculate optical flow, applying Gunnar Farneback’s method. ¨
The areas of higher optical flow are maintained and the areas of
lower optical flow are discarded using Otsu’s adaptive threshold
method. To distinguish between different moving objects, a
border following method was applied to calculate each object’s
contour. The method was successful detecting and distinguishing
moving objects in different types of image datasets, including
datasets obtained from moving cameras.
关键词：Computer Vision; Movement Detection; Optical
Flow; Object Detection;
