|Background Subtraction in Dynamic Scenes|
The datasets consists of 18 video sequences. The frames of each sequence are provided in JPEG format.
The groundtruth mask is also provided in the form of a 3D array variable in Matlab,
where 1 indicates foreground and 0 indicates background. For some sequences,
the number of frames of the groundtruth mask is smaller than the number of frames
in the seqeunce. But the groundtruth is provided for frames starting from frame 1 of the sequence.
|Citation to use:||
Spatiotemporal Saliency in Dynamic Scenes|
V. Mahadevan, and N. Vasconcelos.
IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 32, no. 1, pp. 171-177, January 2010. © IEEE [ps] [pdf]
On the plausibility of the discriminant center-surround hypothesis for visual saliency
D. Gao, V. Mahadevan, and N. Vasconcelos.
Journal of Vision, 8(7):13, 1-18, 2008. [doi:10.1167/8.7.13.]
Background subtraction in highly dynamic scenes.
V. Mahadevan and N. Vasconcelos.
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
Anchorage, AK, 2008. © IEEE [ps] [pdf]
The discriminant center-surround hypothesis for bottom-up saliency.
D. Gao, V. Mahadevan and N. Vasconcelos.
In Proc. Neural Information Processing Systems (NIPS),
Vancouver, Canada, 2007. [ps] [pdf]