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2012
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Actionable saliency detection: Independent motion detection without independent motion estimation

7 years 2 months ago
Actionable saliency detection: Independent motion detection without independent motion estimation
We present a model and an algorithm to detect salient regions in video taken from a moving camera. In particular, we are interested in capturing small objects that move independently in the scene, such as vehicles and people as seen from aerial or ground vehicles. Many of the scenarios of interest challenge existing schemes based on background subtraction (background motion too complex), multi-body motion estimation (insufficient parallax), and occlusion detection (uniformly textured background regions). We adopt a robust statistical inference approach to simultaneously estimate a maximally reduced regressor, and select regions that violate the null hypothesis (co-visibility under an epipolar domain deformation) as “salient”. We show that our algorithm can perform even in the absence of camera calibration information: while the resulting motion estimates would be incorrect, the partition of the domain into salient vs. non-salient is unaffected. We demonstrate our algorithm on vid...
Georgios Georgiadis, Alper Ayvaci, Stefano Soatto
Added 28 Sep 2012
Updated 28 Sep 2012
Type Journal
Year 2012
Where CVPR
Authors Georgios Georgiadis, Alper Ayvaci, Stefano Soatto
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