JOURNAL ARTICLE

Suspicious Activity Detection

Talekar, P. R.

Year: 2024 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

In light of the recent spike in anti-social behavior, security has been given top attention. Many firms have installed CCTVs to keep an eye on people and their interactions all the time. In a modern country of 64 million people, each person is photographed thirty times a day. A vast quantity of video data is generated and stored for a predetermined period of time. A picture taken at 25 frames per second at a resolution of 704x576 will generate over 20 gigabytes of data per day. Because it requires a workforce and their full attention, it is almost impossible for humans to continually monitor data to decide whether events are unusual. This implies that automation of the same is required.

Keywords:
Automation Workforce Key (lock) Spike (software development) Resolution (logic)

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Topics

Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Gait Recognition and Analysis
Physical Sciences →  Engineering →  Biomedical Engineering
Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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