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» Dealing with Multiple Motions in Optical Flow Estimation
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AI
1999
Springer
14 years 9 months ago
Understanding Mechanical Motion: From Images to Behaviors
We present an algorithm for producing behavior descriptions of planar fixed axes mechanical motions from image sequences using a formal behavior language. The language, which cove...
Tzachi Dar, Leo Joskowicz, Ehud Rivlin
ICCV
2005
IEEE
15 years 11 months ago
Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance
Although variational methods are among the most accurate techniques for estimating the optical flow, they have not yet entered the field of real-time vision. Main reason is the gr...
Andrés Bruhn, Joachim Weickert
90
Voted
ICCV
2003
IEEE
15 years 11 months ago
Variational Stereovision and 3D Scene Flow Estimation with Statistical Similarity Measures
We present a common variational framework for dense depth recovery and dense three-dimensional motion field estimation from multiple video sequences, which is robust to camera spe...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...
ICASSP
2011
IEEE
14 years 1 months ago
Cooperative Maximum Likelihood estimation for fluid flow dynamics in biosensor arrays
Abstract—This paper deals with estimation of the concentration of target molecules in a fluid when it flows past multiple biosensors. The fluid flow is modelled as an advecti...
Maryam Abolfath Beygi, Vikram Krishnamurthy
ICPR
2000
IEEE
15 years 1 months ago
Eigenfiltering for Flexible Eigentracking (EFE)
Traditional techniques for tracking non-rigid objects such as optical flow, correlation, active contours or color, can not deal with situations where image changes are not due to ...
Fernando De la Torre, Javier Melenchón, Jor...