Scene conditional background update for moving object detection in a moving camera

•This paper proposes a moving object detection algorithm adapting to various scene changes in a moving camera.•Our method estimates three scene condition variables: background motion, foreground motion, and illumination changes.•According to scene condition variables, our method builds a background...

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Veröffentlicht in:	Pattern recognition letters 2017-03, Vol.88, p.57-63
Hauptverfasser:	Yun, Kimin, Lim, Jongin, Choi, Jin Young
Format:	Artikel
Sprache:	eng
Schlagworte:	Addition & subtraction Algorithms Background subtraction in a moving camera Clustering Illumination Motion detection Moving object detection Moving object recognition Normal distribution Scene conditional background update Stochastic models Watersheds
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