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Title:Scene Conditional Background Update for Moving Object Detection in a Moving Camera
Duration:14:27
Viewed:6,039
Published:19-08-2016
Source:Youtube

This is the comparison video for accepted paper "Scene Conditional Background Update for Moving Object Detection in a Moving Camera.", Pattern Recognition Letters 2017.

http://www.sciencedirect.com/science/...

The compared algorithms are following:


MCD NP: Kim et al., “Detection of moving objects with a moving camera using non-panoramic background model,” Machine Vision and Applications, Oct. 2012.

MCD 5.8ms: Yi et al., “Detection of Moving Objects with Non-Stationary Cameras in 5.8ms: Bringing Motion Detection to your Mobile Device", in Proc. Third IEEE Intertnational Workshop on Mobile Vision (CVPR Workshops), 2013.

Stochastic approx. : L´opez-Rubio, F.J., and L´opez-Rubio, E., "Foreground detection for moving cameras with stochastic approximation". Pattern Recognition Letters 68, 161–168

SOBS: L. Maddalena and A. Petrosino, “A self-organizing approach to background subtraction for visual surveillance applications,” IEEE Transactions on Image Processing, vol. 17, no. 7, pp. 1168–1177, 2008.

ViBe: Olivier Barnich and Marc Van Droogenbroeck, “ViBe: A Universal Background Subtraction Algorithm for Video Sequences,” IEEE Transactions on Image Processing, vol. 20, no. 6, pp. 1709–1724, 2011.

FIC: Choi et al., “Robust moving object detection against fast illumination change,” Computer Vision and Image Understanding, vol. 116, no. 2, Feb. 2012.

BMRI-ViBe: Cheng et al., “A background model re-initialization method based on sudden luminance change detection,” Engineering Applications of Artificial Intelligence, 2015.

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