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MVA
2007
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8 years 10 months ago
A Method for Estimating Rigid Object Motion Using Regularized Scene Flow
In this paper, we propose a method for estimating object motion by three-dimensional scene flow using multiple cameras. The scene flow is regularized by applying subspace constr...
Hiroki Mizuno, Hironobu Fujiyoshi
ITCC
2003
IEEE
9 years 1 months ago
Estimation Of Motion From A Sequence Of Images Using Spherical Projective Geometry
: Motion is an important cue for many applications. Here we propose a solution for estimating motion from a sequence of images using three algorithms, viz., Batch, Recursive and Bo...
Madasu Hanmandlu, Shantaram Vasikarla, Vamsi Krish...
WACV
2005
IEEE
9 years 2 months ago
Periodic Motion Detection and Estimation via Space-Time Sampling
A novel technique to detect and localize periodic movements in video is presented. The distinctive feature of the technique is that it requires neither feature tracking nor object...
Ashwin Thangali, Stan Sclaroff
ICPR
2000
IEEE
9 years 9 months ago
Structuring Personal Activity Records Based on Attention - Analyzing Videos from Head-Mounted Camera
This paper introduces a novel method for analyzing video records which contain personal activities captured by a head mounted camera. This aims to support the user to retrieve the...
Yuichi Nakamura, Yuichi Ohta, Jun'ya Ohde
ECCV
1996
Springer
9 years 10 months ago
Learning Dynamics of Complex Motions from Image Sequences
In Proc. European Conf. Computer Vision, 1996, pp. 357{368, Cambridge, UK The performance of Active Contours in tracking is highly dependent on the availability of an appropriate ...
David Reynard, Andrew Wildenberg, Andrew Blake, Jo...
CVPR
2007
IEEE
9 years 10 months ago
Trajectory Association across Non-overlapping Moving Cameras in Planar Scenes
The ability to associate objects across multiple views allows co-operative use of an ensemble cameras for scene understanding. In this paper, we present a principled solution to o...
Yaser Sheikh, Xin Li, Mubarak Shah
CVPR
1999
IEEE
9 years 10 months ago
Explaining Optical Flow Events with Parameterized Spatio-Temporal Models
A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. affine). These generative spatio-tempo...
Michael J. Black
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