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VMV
2001
248views Visualization» more  VMV 2001»
13 years 7 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl
BMVC
1998
13 years 7 months ago
Detection and Tracking of Very Small Low Contrast Objects
We present a Kalman tracking algorithm that can track a number of very small, low contrast objects through an image sequence taken from a static camera. The issues that we have ad...
D. Davies, Phil L. Palmer, Majid Mirmehdi
ICRA
1998
IEEE
111views Robotics» more  ICRA 1998»
13 years 10 months ago
Weighting Observations: The Use of Kinematic Models in Object Tracking
We describe a model-based object tracking system that updates the configuration parameters of an object model based upon information gathered from a sequence of monocular images. ...
Kevin Nickels, Seth Hutchinson
CVPR
2005
IEEE
14 years 8 months ago
Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects
Geometric active contours are formulated in a manner which is parametrization independent. As such, they are amenable to representation as the zero level set of the graph of a hig...
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, A...
ICIP
2003
IEEE
14 years 7 months ago
Accurate real-time object tracking with linear prediction method
This paper presents an efticient technique for real-time tracking of a single moving object in terrestrial scenes using a stationary camera. The tracking algorithm is based on the...
Phaik Yong Yeoh, Syed A. R. Abu-Bakar