A vision-based algorithm for parking lot utilization evaluation using conditional random fields

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088427" target="_blank" >RIV/61989100:27240/13:86088427 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-41939-3_22" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-41939-3_22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-41939-3_22" target="_blank" >10.1007/978-3-642-41939-3_22</a>

Result language
angličtina
Original language name
A vision-based algorithm for parking lot utilization evaluation using conditional random fields
Original language description
In this paper, we present an algorithm for estimating the occupancy of individual parking spaces. Our method is based on a computer analysis of images obtained by a camera system monitoring the activities on a parking lot. The proposed method extensivelyuses a priori information about the parking lot layout and the general shape of well-parked cars, which is incorporated in a simplified probabilistic car model. Discriminative features are extracted from a normalized image of every parking space, the relevance of these gradient-based features is prioritized via a selective flow, and furthermore, their spatial relationship is revealed through an undirected graphical model. We strive to avoid the training phase to reduce the time required to bring the system into a fully operational state. The reliability of the here devised approach is evaluated on the set of video sequences captured during different phases of a day and the results are compared against the ground truth data.
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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