|Background Subtraction in Dynamic Scenes|
Natural scenes are usually composed of several dynamic entities. Foreground objects often move amidst complicated backgrounds that are themselves moving, e.g. swaying trees, other objects such as a crowd, a flock of birds, moving water, waves, snow, rain and smoke-filled environments. Biological visual systems have evolved to be extremely efficient in discriminating between foreground and background objects in such dynamic scenes.
We propose a novel spatiotemporal saliency paradigm, inspired by
biological vision, where background subtraction is inherent to the deployment of visual attention.
In particular, background subtraction is equated to the detection of salient motion, for which we
propose a solution based on the discriminant center-surround saliency
discriminant center-surround saliency hypothesis.
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]