Online codebook modeling based background subtraction with a moving camera

Yu, Miao (2017) Online codebook modeling based background subtraction with a moving camera. In: 3rd International Conference on Frontiers of Signal Processing (ICFSP 2017), 6 - 8 September 2017, Paris, France.

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Item Type:Conference or Workshop contribution (Presentation)
Item Status:Live Archive


This paper proposes a new background subtraction
method by a moving camera for the object detection.
Key points are firstly extracted and tracked. From
the tracking results, spatial transformation relationships for
the background scenes in consecutive frames are obtained
while the current frame is warped to the previous image
plane for the camera movement compensation. A codebook
background model is constructed and updated in an online
way by exploiting the full RGB color information, which is
used to distinguish the foreground/background regions. Both
qualitative and quantitative experimental results show that
the proposed method outperforms its counterparts with a
better performance.

Keywords:moving camera, background subtraction, codebook, image matching
Subjects:G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
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ID Code:29439
Deposited On:15 Nov 2017 06:56

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