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Moving object detection using unstable camera for consumer surveillance systems | IEEE Conference Publication | IEEE Xplore

Moving object detection using unstable camera for consumer surveillance systems


Abstract:

In this paper, we present a robust motion-based object detection system that corrects for the motion of an unstable camera. Assuming that the global camera motion may be ...Show More

Abstract:

In this paper, we present a robust motion-based object detection system that corrects for the motion of an unstable camera. Assuming that the global camera motion may be modeled as an affine transform of the image between two successive frames, the proposed method is able to correct for camera motion using an elastic registration algorithm (ER). The local motion is then estimated from a current image and affine-transformed previous image. Finally, object regions are detected using the estimated local motions. Experimental results show that the proposed system is able to robustly detect moving objects in unstable imaging environment for consumer surveillance systems.
Date of Conference: 11-14 January 2013
Date Added to IEEE Xplore: 28 March 2013
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Conference Location: Las Vegas, NV, USA

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