Real-Time Activity Recognition for Surveillance Applications on Edge Devices Article Swipe
Vasileios Tsinikos
,
Ioannis Pastaltzidis
,
Iason Karakostas
,
Nikolaos Dimitriou
,
Aikaterini Valakou
,
George Margetis
,
Constantine Stefanidis
,
Dimitrios Tzovaras
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1145/3594806.3594823
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1145/3594806.3594823
Human Activity Recognition is a crucial task for surveillance systems that has seen great advancements with the emergence of Artificial Intelligence. At the same time, hardware advances have allowed for development of systems that operate in real-time. However real-time performance is still a far from solved problem for wearable devices when it comes to computer vision tasks such as activity recognition. In this paper a hybrid solution for Human Activity Recognition is proposed that exploits a lightweight method for on-device posture recognition and a more heavyweight activity recognition method executed on the cloud. The experimental evaluation for the activity recognition module indicates superior performance compared to existing methods and the lightweight posture method can predict satisfactorily the desired classes. The developed system offers a user-friendly Augmented Reality application that provides scene annotations to the user including the activity of the detected persons.
Related Topics
Concepts
Activity recognition
Computer science
Exploit
Wearable computer
Task (project management)
Artificial intelligence
Human–computer interaction
Enhanced Data Rates for GSM Evolution
Cloud computing
Augmented reality
Computer vision
Embedded system
Engineering
Operating system
Computer security
Systems engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3594806.3594823
- OA Status
- gold
- Cited By
- 6
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385729958
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385729958Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1145/3594806.3594823Digital Object Identifier
- Title
-
Real-Time Activity Recognition for Surveillance Applications on Edge DevicesWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-07-05Full publication date if available
- Authors
-
Vasileios Tsinikos, Ioannis Pastaltzidis, Iason Karakostas, Nikolaos Dimitriou, Aikaterini Valakou, George Margetis, Constantine Stefanidis, Dimitrios TzovarasList of authors in order
- Landing page
-
https://doi.org/10.1145/3594806.3594823Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1145/3594806.3594823Direct OA link when available
- Concepts
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Activity recognition, Computer science, Exploit, Wearable computer, Task (project management), Artificial intelligence, Human–computer interaction, Enhanced Data Rates for GSM Evolution, Cloud computing, Augmented reality, Computer vision, Embedded system, Engineering, Operating system, Computer security, Systems engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 5Per-year citation counts (last 5 years)
- References (count)
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32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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