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» Long term tracking using Bayesian networks
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SENSYS
2004
ACM
15 years 9 months ago
Hardware design experiences in ZebraNet
The enormous potential for wireless sensor networks to make a positive impact on our society has spawned a great deal of research on the topic, and this research is now producing ...
Pei Zhang, Christopher M. Sadler, Stephen A. Lyon,...
99
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MM
2005
ACM
147views Multimedia» more  MM 2005»
15 years 9 months ago
Video inpainting and restoration techniques
Aged films may contain defects such as spikes or dirt, as well as long vertical defect lines. These defects were produced in file development or due to improper maintenance of fil...
Rong-Chi Chang, Louis H. Lin, Chia-Ton Tian, Timot...
122
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ICPR
2008
IEEE
15 years 10 months ago
A computer vision based camera pedestal's vertical motion control
. Traditional camera pedestals are manually operated. Our long term goal is to construct a fully autonomous pedestal system which can respond to changes in a scene and mimicking t...
Richard Yi Da Xu, Joshua M. Brown, Jason M. Traish...
KBSE
2005
IEEE
15 years 9 months ago
Automated population of causal models for improved software risk assessment
Recent work in applying causal modeling (Bayesian networks) to software engineering has resulted in improved decision support systems for software project managers. Once the causa...
Peter Hearty, Norman E. Fenton, Martin Neil, Patri...
ICANN
2011
Springer
14 years 7 months ago
Person Tracking Based on a Hybrid Neural Probabilistic Model
This article presents a novel approach for a real-time person tracking system based on particle filters that use different visual streams. Due to the difficulty of detecting a pe...
Wenjie Yan, Cornelius Weber, Stefan Wermter