Moving object removal based on global feature registration

Authors:
Soon-Yong Park;Jaekyoung Moon;Chang-Joon Park;Inho Lee
Affiliations:
Computer Engineering Department, Kyungpook National University, Daegu, South Korea;Sensor Technology Research Center, Kyungpook National University, Daegu, South Korea;Digital Content Division, ETRI, Digital Actor Research Team, Daejeon, South Korea;Digital Content Division, ETRI, Digital Actor Research Team, Daejeon, South Korea
Venue:
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Year:
2006

Citing 3
Cited 0

Video matching

ACM SIGGRAPH 2004 Papers
Motion Layer Based Object Removal in Videos

WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Robust Salient Motion Detection with Complex Background for Real-Time Video Surveillance

WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02

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Abstract

A moving object in a video sequence is removed and corresponding background is completed by using a novel global feature registration technique. To find a 2D homography between two adjacent video frames, we track background and foreground features, separately. After estimating the homography, we extract and remove the moving object in every frame. To fill the background of the removed object accurately, we introduce a global feature registration technique. The technique iteratively reduces and distributes the accumulation errors associated to global video registration. Experimental results show that the proposed technique yields seamless background sequences.