Towards a resource efficient and privacy-preserving framework for campus-wide video analytics-based applications
Abstract Video surveillance and analytics solutions based on Artificial Intelligence (AI) are increasingly being deployed across industries, including academia. There are a number of use-cases for campus-wide video analytics applications. Detecting events of interest in real-time and generating aler...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-06-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-022-00783-w |