Suspicious Human Behaviour Detection Focusing on Campus Sites-Reference-Cited by-同舟云学术

Suspicious Human Behaviour Detection Focusing on Campus Sites

Published:2022-08-25 Issue: Volume: Page:171-183
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Ali Mohammed Mahmood^ORCID,Noorain Sara,Qaseem Mohammad S.,ur Rahman Ateeq

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2940-3_12

Reference19 articles.

1. (Online). Human Behaviour. https://www.nu.edu/resources/ask-an-expert-can-human-behavior-be-studied-scientifically/

2. Khodadin F, Pudaruth S (2020) An intelligent camera surveillance system with effective notification features. UOB J (6)

3. Ali MM, Qaseem MS, Rahman A (2022) Strategies and tools for effective suspicious event detection from video: a survey perspective (COVID-19). In: Chaurasia MA, Mozar S (eds) Contactless healthcare facilitation and commodity delivery management during COVID 19 pandemic. Advanced technologies and societal change. Springer, Singapore

4. (Online). Suspicious Event Types. https://dpss.umich.edu/content/services/report-a-crime/suspicious-behavior/

5. Belhadia A, Djenouri Y et al (2021) Deep learning for pedestrian collective behavior analysis in smart cities: a model of group trajectory outlier detection. J. Inform Fusion 65:13–20. Elsevier

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