Domain Adaptation for Sequential Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00211717" target="_blank" >RIV/68407700:21230/13:00211717 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-642-38886-6_21" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-642-38886-6_21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-38886-6_21" target="_blank" >10.1007/978-3-642-38886-6_21</a>
Alternative languages
Result language
angličtina
Original language name
Domain Adaptation for Sequential Detection
Original language description
We propose a domain adaptation method for sequential decision-making process. While most of the state-of-the-art approaches focus on SVM detectors, we propose the domain adaptation method for the sequential detector similar to WaldBoost, which is suitable for real-time processing. The work is motivated by applications in surveillance, where detectors must be adapted to new observation conditions. We address the situation, where the new observation is related to the previous observation by a parametric transformation. We propose a learning procedure, which reveals the hidden transformation between the old and new data. The transformation essentially allows to transfer the knowledge from the old data to the new one. We show that our method can achieve a60% speedup in the training w.r.t.~the baseline WaldBoost algorithm while outperforming it in precision.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SCIA 2013: Proceedings of the 18th Scandinavian Conference on Image Analysis
ISBN
978-3-642-38885-9
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
215-224
Publisher name
Springer
Place of publication
Heidelberg
Event location
Espoo
Event date
Jun 17, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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