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» A Linear Programming Approach for Multiple Object Tracking
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TSP
2010
13 years 2 months ago
Bayesian multi-object filtering with amplitude feature likelihood for unknown object SNR
In many tracking scenarios, the amplitude of target returns are stronger than those coming from false alarms. This information can be used to improve the multi-target state estimat...
Daniel Clark, Branko Ristic, Ba-Ngu Vo, Ba-Tuong V...
ACCV
2009
Springer
14 years 2 months ago
3D Motion Segmentation Using Intensity Trajectory
Motion segmentation is a fundamental aspect of tracking in a scene with multiple moving objects. In this paper we present a novel approach to clustering individual image pixels ass...
Hua Yang, Greg Welch, Jan-Michael Frahm, Marc Poll...
CVPR
2003
IEEE
14 years 9 months ago
Degeneracies, Dependencies and their Implications in Multi-body and Multi-Sequence Factorizations
The body of work on multi-body factorization separates between objects whose motions are independent. In this work we show that in many cases objects moving with different 3D moti...
Lihi Zelnik-Manor, Michal Irani
ICMI
2003
Springer
106views Biometrics» more  ICMI 2003»
14 years 28 days ago
Perceptual user interfaces using vision-based eye tracking
We present a multi-camera vision-based eye tracking method to robustly locate and track user’s eyes as they interact with an application. We propose enhancements to various visi...
Ravikrishna Ruddarraju, Antonio Haro, Kris Nagel, ...
SSIAI
2000
IEEE
14 years 3 days ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal