MERAL Myanmar Education Research and Learning Portal
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Classification of Audio Events in Surveillance System using Genetic Regulatory Network
http://hdl.handle.net/20.500.12678/0000007752
http://hdl.handle.net/20.500.12678/0000007752d18e30bc-2250-462b-86d3-5a78d425839f
b0a3fe41-1875-4613-8c9a-e6c9b9f3cfde
Name / File | License | Actions |
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Classification of Audio Events in Surveillance System using Genetic Regulatory Network.pdf (248 KB)
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Classification of Audio Events in Surveillance System using Genetic Regulatory Network | |||||
Language | en | |||||
Publication date | 2011-05-05 | |||||
Authors | ||||||
Tin Ei Kyaw | ||||||
Description | ||||||
The surveillance system at important public places in a noisy environment deals with audio events detection is essential and useful application. At surveillance systems aiming to detect abnormal situations based on visual clues while, in some situations, it may be easier to detect and classify events using the audio information. Audio events classification for threatening environment through Genetic Regulatory Network (GRN) is considered. GRN is adopted as classification framework and greatly reduced input dimensions. Thus using the results from GRN framework as inputs for Support Vector Machine (SVM) can correctly classify audio events such as gunshot and explosion with low computational time and complexity. Selecting GRN in event detection system can not only reduces cost and effort but also aims to obtain high performance and accuracy in varying nature of environments. | ||||||
Conference papers | ||||||
ICCA | ||||||
2011-05-05 | ||||||
Proceeding of 9th International Conference on Computer Application (ICCA 2011) | ||||||
Yangon, Myanmar | ||||||
Http://onlineresource.ucsy.edu.mm/handle/123456789/67 |