Motion cues and saliency based unconstrained video segmentation

The segmentation of moving objects become challenging when the object motion is small, the shape of object changes, and there is global background motion in unconstrained videos. In this paper, we propose a fully automatic, efficient, fast and composite framework to segment the moving object on the...

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Vydané v:	Multimedia tools and applications Ročník 77; číslo 6; s. 7429 - 7446
Hlavní autori:	Ullah, Javid, Khan, Ahmad, Jaffar, Muhammad Arfan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.03.2018 Springer Nature B.V
Predmet:	Automobile driving Computer Communication Networks Computer Science Cues Data Structures and Information Theory Drivers licenses Experimentation Multimedia Information Systems Object motion Optical flow (image analysis) Salience Segmentation Special Purpose and Application-Based Systems Visual task performance Saliency Moving object Homography Segmentation Optical flow Recognition
ISSN:	1380-7501, 1573-7721
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