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» A Generative Model Based Approach to Motion Segmentation
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CVPR
2004
IEEE
16 years 8 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
ICIAR
2007
Springer
16 years 14 days ago
Landmark-Based Non-rigid Registration Via Graph Cuts
Abstract. This paper presents an approach based on graph cuts initially used for motion segmentation that is being applied to the nonrigid registration problem. The main contributi...
Herve Lombaert, Yiyong Sun, Farida Cheriet
EUROCAST
1997
Springer
156views Hardware» more  EUROCAST 1997»
15 years 10 months ago
A Computational Model for Visual Size, Location and Movement
The ability to detect object size, location and movement is essential for a visual system in either a biological or man made environment. In this paper we present a model for esti...
Miguel Alemán-Flores, K. Nicholas Leibovic,...
VMV
2001
248views Visualization» more  VMV 2001»
15 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
175
Voted
BMVC
2010
15 years 4 months ago
Automatic annotation of unique locations from video and text
Given a video and associated text, we propose an automatic annotation scheme in which we employ a latent topic model to generate topic distributions from weighted text and then mo...
Chris Engels, Koen Deschacht, Jan Hendrik Becker, ...