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» A comparative study of two object recognition methods
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CVPR
2008
IEEE
15 years 10 months ago
Global data association for multi-object tracking using network flows
We propose a network flow based optimization method for data association needed for multiple object tracking. The maximum-a-posteriori (MAP) data association problem is mapped in...
Li Zhang, Yuan Li, Ramakant Nevatia
ADBIS
2006
Springer
118views Database» more  ADBIS 2006»
15 years 10 months ago
Computational Database Technology Applied to Option Pricing Via Finite Differences
Computational database technology spans the two research fields data-base technology and scientific computing. It involves development of database capabilities that support compu...
Jöns Åkerlund, Krister Åhlander, ...
IJCV
2008
167views more  IJCV 2008»
15 years 3 months ago
Learning Layered Motion Segmentations of Video
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
CVPR
2008
IEEE
16 years 5 months ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen
ICIP
2007
IEEE
15 years 10 months ago
Rotation-Independent IRIS Matching by Motion Estimation
In this paper we propose a novel method of applying motion estimation techniques to human authentication by iris matching. By exploiting the inherent differences in vector fields ...
Donald M. Monro, Soumyadip Rakshit