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» Accurate Optical Flow in Noisy Image Sequences
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CVIU
2010
155views more  CVIU 2010»
14 years 10 months ago
Illumination-robust variational optical flow using cross-correlation
We address the problem of variational optical flow for video processing applications that need fast operation and robustness to drastic variations in illumination. Recently, a sol...
József Molnár, Dmitry Chetverikov, S...
ICPR
2008
IEEE
15 years 4 months ago
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes
Video footage of real crowded scenes still poses severe challenges for automated surveillance. This paper evaluates clustering methods for finding independent dominant motion fi...
Günther Eibl, Norbert Brändle
BILDMED
2008
141views Algorithms» more  BILDMED 2008»
14 years 11 months ago
Analysis of Cerebral Blood Flow from Small Rodents
The exact knowledge of the blood vessel geometry plays an important role, not only in clinical applications (stroke diagnosis, detection of stenosis), but also for detailed analysi...
Monika Lehmpfuhl, Manuel André Gaudnek, And...
ECCV
1998
Springer
15 years 11 months ago
Motion Recovery from Image Sequences: Discrete Viewpoint vs. Differential Viewpoint
Abstract. The aim of this paper is to explore intrinsic geometric methods of recovering the three dimensional motion of a moving camera from a sequence of images. Generic similarit...
Yi Ma, Jana Kosecka, Shankar Sastry
ACISICIS
2007
IEEE
15 years 4 months ago
A Modified K-means Algorithm for Noise Reduction in Optical Motion Capture Data
This paper presents a modified K-means algorithm that can be used for removing noise in multicolor motion capture image sequences. These images have been produced using the Illumi...
Jan Carlo Barca, Grace W. Rumantir