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Online codebook modeling based background subtraction with a moving camera
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
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