AdaBoost for parking lot occupation detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86089029" target="_blank" >RIV/61989100:27240/13:86089029 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-00969-8_67" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-00969-8_67</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-00969-8_67" target="_blank" >10.1007/978-3-319-00969-8_67</a>
Alternative languages
Result language
angličtina
Original language name
AdaBoost for parking lot occupation detection
Original language description
Parking lot occupation detection using vision systems is a very important task. Many systems use different sensors and their combinations to find out whether the parking lot or space is occupied or not. Using CCTV systems makes it possible to monitor great areas without a need of many sensors. In this paper, we present a method that uses the boosting algorithm for car detection on particular parking spaces and shifting the image to obtain a probability function of car appearance. Using the model of parking lot, we achieve occupancy of each parking space. We also experimented with the detector that is based on the histogram of oriented gradients (HOG) with a support vector machine (SVM). Nevertheless, we found some drawbacks of this detector that we describe in experiments. On the grounds of these drawbacks, we decided to use the AdaBoost based detector.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
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
Name of the periodical
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013
ISSN
2194-5357
e-ISSN
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Volume of the periodical
226
Issue of the periodical within the volume
2013
Country of publishing house
CH - SWITZERLAND
Number of pages
10
Pages from-to
681-690
UT code for WoS article
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EID of the result in the Scopus database
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