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ICIP
2000
IEEE
16 years 2 months ago
A Data Fusion Solution to the Accuracy-Efficiency Trade-Off Problem in Motion Estimation
There is often a trade-off between the accuracy and the speed of optical flow techniques. Given similar computational resources, this trade-off results in some techniques making i...
Andrew M. Peacock, David S. Renshaw, John M. Hanna...
95
Voted
ICIP
2009
IEEE
16 years 1 months ago
Recognizing Human Actions By Fusing Spatio-temporal Appearance And Motion Descriptors
In this paper we propose a new method for human action categorization by using an effective combination of a new 3D gradient descriptor with an optic flow descriptor, to represent...
96
Voted
CCR
2002
155views more  CCR 2002»
15 years 15 days ago
A retrospective view of ATM
ATM was the focus of active research and significant investment in the early to mid 1990's. This paper discusses several visions for ATM prevalent at the time, and analyzes h...
Charles R. Kalmanek
122
Voted
CVPR
2010
IEEE
15 years 9 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
109
Voted
DAGM
2006
Springer
15 years 2 months ago
On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-temporal Regularization
We present a variational approach to motion estimation of instationary fluid flows. Our approach extends prior work along two directions: (i) The full incompressible Navier-Stokes ...
Paul Ruhnau, Annette Stahl, Christoph Schnörr