Combining Template Matching and Background Subtraction Techniques to Detect Objects in Infrared Video Sequences

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F16%3A00532978" target="_blank" >RIV/60162694:G43__/16:00532978 - isvavai.cz</a>
Result on the web
<a href="http://aimt.unob.cz/articles/16_02/1117.pdf" target="_blank" >http://aimt.unob.cz/articles/16_02/1117.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3849/aimt.01117" target="_blank" >10.3849/aimt.01117</a>

Result language
angličtina
Original language name
Combining Template Matching and Background Subtraction Techniques to Detect Objects in Infrared Video Sequences
Original language description
In this paper, an algorithm is introduced combining a template matching technique with background subtraction to detect moving targets on a road captured on video using a static camera. The designed algorithm based on combining the two techniques is to reduce the difficulties in background estimation and improve the processing time, etc. The proposed algorithm was tested in two different video sequences. The first video sequence was filmed with stabilized camera, while the second video was acquired with unstable camera. The results in both cases indicated that the background subtraction algorithm is successful in detecting moving objects and the template matching technique is suitable for object replacement from background frame to acquire the standard background frame.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
KA - Militarism
OECD FORD branch
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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