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» Real-Time Optic Flow Computation with Variational Methods
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ECCV
2002
Springer
16 years 5 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
99
Voted
BMVC
2000
15 years 4 months ago
Recognizing Objects From Curvilinear Motion
This paper introduces an object recognition strategy based on the following premises: i) an object can be identified on the basis of the optical flow it induces on a stationary ob...
Tal Arbel, Frank P. Ferrie, Marcel Mitran
156
Voted
CVPR
2010
IEEE
15 years 11 months ago
Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Shandong Wu, Brian E. Moore, and Mubarak Shah
CVPR
2008
IEEE
16 years 5 months ago
Matching non-rigidly deformable shapes across images: A globally optimal solution
While global methods for matching shapes to images have recently been proposed, so far research has focused on small deformations of a fixed template. In this paper we present the...
Thomas Schoenemann, Daniel Cremers
PREMI
2007
Springer
15 years 9 months ago
An Adaptive Bayesian Technique for Tracking Multiple Objects
Abstract. Robust tracking of objects in video is a key challenge in computer vision with applications in automated surveillance, video indexing, human-computer-interaction, gesture...
Pankaj Kumar, Michael J. Brooks, Anton van den Hen...