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Paper Title : HUMAN ACTIVITY RECOGNITION USING MACHINE LEARNING
ISSN : 2395-1303
Year of Publication : 2022
MLA Style: -Vybhavi K, Himasree K, Srilekha K HUMAN ACTIVITY RECOGNITION USING MACHINE LEARNING , Volume 8 - Issue 5 September - October 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org
APA Style: -Vybhavi K, Himasree K, Srilekha K HUMAN ACTIVITY RECOGNITION USING MACHINE LEARNING , Volume 8 - Issue 5 September - October 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org
With the increasing number of anti-social events taking place, there has been a recent focus on security. Many organizations have installed CCTV to constantly monitor people and their interactions. In a developed country with a population of 64 million, each person is caught on camera 30 times a day. A large amount of video data generated and stored over a period of time. A 704 x 576 image recorded at 25 frames per second will generate roughly 20GB per day. Continuous monitoring of data by humans to assess whether events are abnormal is an almost impossible task as it requires manpower and their constant attention. This creates a need to automate the same. It is also necessary to show in which frame and which part of it contains the unusual activity, which helps to quickly assess the unusual activity as abnormal. This is done by converting video to images and analyzing people and activating them from the processed image. Machine learning and deep learning algorithms and techniques support us in broad adoption to make it possible.
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