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» Multiple Object Tracking Using Local PCA
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AMFG
2003
IEEE
148views Biometrics» more  AMFG 2003»
14 years 1 months ago
Multi-Modal Face Tracking Using Bayesian Network
This paper presents a Bayesian network based multimodal fusion method for robust and real-time face tracking. The Bayesian network integrates a prior of second order system dynami...
Fang Liu, Xueyin Lin, Stan Z. Li, Yuanchun Shi
VR
2010
IEEE
167views Virtual Reality» more  VR 2010»
13 years 6 months ago
Dynamic control of multiple focal-plane projections for eliminating defocus and occlusion
This paper presents a novel dynamic control of multiple focal-plane projections. Our approach multiplexes the projectors’ focal-planes so that all the displayed images are focus...
Momoyo Nagase, Daisuke Iwai, Kosuke Sato
ISMAR
2009
IEEE
14 years 2 months ago
A setup for evaluating detectors and descriptors for visual tracking
In many cases, visual tracking is based on detecting, describing, and then matching local features. A variety of algorithms for these steps have been proposed and used in tracking...
Steffen Gauglitz, Tobias Höllerer, Petra Krah...
ECCV
2010
Springer
13 years 11 months ago
Recursive Coarse-to-Fine Localization for fast Object Detection
Cascading techniques are commonly used to speed-up the scan of an image for object detection. However, cascades of detectors are slow to train due to the high number of detectors a...
Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdan...
SSIAI
2000
IEEE
14 years 13 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