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International Journal of Scientific and Research Publications

IJSRP, Volume 12, Issue 9, September 2022 Edition [ISSN 2250-3153]


Abnormal Event Detection and tracking in Surveillance Videos using Neural Networks
      LRTDM Bandara, G. Gayamini, and Dr. Thushara Weerawardane
Abstract: In recent years abnormal event detection has become an important research area because of the following reasons : the increase of the applications of it, the increase of the number surveillance cameras in public locations such as museums, markets, airports, stadiums, train stations, etc., and the advancements of the peoples’ public safety awareness. AED is a subtopic in event detection, In the study of video content, event detection is critical. Abnormal event detection can be applied in smart surveillance monitoring systems, which can recognize abnormal incidents in video footage automatically and decide what to do based on the type of abnormal event. The primary premise behind abnormal event detection is to use computer vision technology to extract the characteristics that represent unusual activity from a video and then train a model that can recognize abnormal events.

Reference this Research Paper (copy & paste below code):
LRTDM Bandara, G. Gayamini, and Dr. Thushara Weerawardane (2022); Abnormal Event Detection and tracking in Surveillance Videos using Neural Networks; International Journal of Scientific and Research Publications (IJSRP) 12(9) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.12.09.2022.p12944

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