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LIVE SURVEILLANCE - DETECTING ABNORMAL EVENTS IN REAL TIME FOR ENHANCED SECURITY
Authors
Kalaiarasi,Kiruthika,Nivetha,Siva Sabarishwari
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LIVE SURVEILLANCE - DETECTING ABNORMAL EVENTS IN REAL TIME FOR ENHANCED SECURITY
Abstract
Abnormal event detection, human behavior detection, as well as object recognition plays a vital role in the creation of a smart CCTV system. These systems make it possible to detect abnormal events in an environment, abnormal behaviors by humans and the state of alert in the environment. Machine Vision property along with Machine Learning are used in these systems to detect as well as identify the particular anomalies that arise in the video feed from the CCTV. Frame by frame processing is commonly used and Supervised Learning is the commonly used training method for these systems. However, since the anomalies are of many different kinds and also because it is not feasible to pre-detect and train all types of anomalies, supervised learning is being replaced by unsupervised learning and semi - supervised learning for training the system. This system provides a means of minimising or removing the human workload that has to be put on to manually detect and create an alert on detection of an abnormality in the live feed provided by the CCTV. Also the system increases the storage efficiency by storing only the abnormal events in original quality and storing the normal scenarios in low quality for archiving. Also this system provides an extension of creating a distributed abnormality classification system, where only the abnormal events are sent on to different dedicated systems to classify the abnormality
IJCRT's Publication Details
Unique Identification Number - IJCRTAM02037
Paper ID - 266423
Author type - Indian Author
Page Number(s) - 231-234
Pubished in - Volume 12 | Issue 8 | August 2024
DOI (Digital Object Identifier) -
No Of Downloads - 285
Author Country - India, -, -, -, -, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
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Kalaiarasi,Kiruthika,Nivetha,Siva Sabarishwari, "LIVE SURVEILLANCE - DETECTING ABNORMAL EVENTS IN REAL TIME FOR ENHANCED SECURITY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 8, pp.231-234, August 2024, Available at :http://www.ijcrt.org/papers/IJCRTAM02037.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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