Title :
Occlusion detection in moving cameras
Author :
Aydin, Tarkan ; Erdem, Tanju
Author_Institution :
Mat. Bilgisayar Bolumu, Bahcesehir Univ., Istanbul, Turkey
Abstract :
In this work, we propose a novel method for detection of moving or static objects which are not part of the background in an image sequence captured by a moving camera. The method is composed of two stages, namely, construction of a background model and detection of occluding objects. The constructed background model makes it possible to detect both static and moving occluding objects. Experiments on the real scenes show that the proposed method works effectively and produces visually correct results.
Keywords :
cameras; image sequences; object detection; background model; cameras; image sequence; occlusion detection; static object detection; Adaptation models; Cameras; Computational modeling; Computer vision; Conferences; Pattern recognition; Three dimensional displays;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2012 20th
Conference_Location :
Mugla
Print_ISBN :
978-1-4673-0055-1
Electronic_ISBN :
978-1-4673-0054-4
DOI :
10.1109/SIU.2012.6204840