Perimeter intrusion detection by video surveillance: A survey

D Lohani, C Crispim-Junior, Q Barthélemy, S Bertrand… - Sensors, 2022 - mdpi.com
In recent times, we have seen a massive rise in vision-based applications, such as video
anomaly detection, motion detection, object tracking, people counting, etc. Most of these …

DARLENE–Improving situational awareness of European law enforcement agents through a combination of augmented reality and artificial intelligence solutions

KC Apostolakis, N Dimitriou, G Margetis… - Open Research …, 2022 - pmc.ncbi.nlm.nih.gov
Background: Augmented reality (AR) and artificial intelligence (AI) are highly disruptive
technologies that have revolutionised practices in a wide range of domains, including the …

Real-time abnormal event detection for enhanced security in autonomous shuttles mobility infrastructures

D Tsiktsiris, N Dimitriou, A Lalas, M Dasygenis, K Votis… - Sensors, 2020 - mdpi.com
Autonomous vehicles (AVs) are already operating on the streets of many countries around
the globe. Contemporary concerns about AVs do not relate to the implementation of …

Real-time activity recognition for surveillance applications on edge devices

V Tsinikos, I Pastaltzidis, I Karakostas… - Proceedings of the 16th …, 2023 - dl.acm.org
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 …

A novel image and audio-based artificial intelligence service for security applications in autonomous vehicles

D Tsiktsiris, A Vafeiadis, A Lalas, M Dasygenis… - Transportation Research …, 2022 - Elsevier
Abstract Autonomous Vehicles (AVs) can potentially reduce the accident risk while a human
is driving. They can also improve the public transportation by connecting city centers with …

A real-time wearable AR system for egocentric vision on the edge

I Karakostas, A Valakou, D Gavgiotaki, Z Stefanidi… - Virtual Reality, 2024 - Springer
Real-time performance is critical for Augmented Reality (AR) systems as it directly affects
responsiveness and enables the timely rendering of virtual content superimposed on real …

Context Driven MEC Resource Allocation for Time-Critical AR Applications

SI Raptis, I Karakostas, N Dimitriou… - 2023 IEEE 9th World …, 2023 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a promising solution for delay-sensitive and
computationally intensive applications mitigating the increased latency that cloud computing …

Safeguarding Public Spaces: Unveiling Wallet Snatching through Edge Impulse Technology

UR KS, P Kuppusamy - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
In contemporary society, public space security and safety are of utmost significance. The
theft of wallets, a frequent type of street crime, puts people's personal items at risk and may …

CondenseNeXtV2: Light-Weight Modern Image Classifier Utilizing Self-Querying Augmentation Policies

P Kalgaonkar, M El-Sharkawy - Journal of Low Power Electronics and …, 2022 - mdpi.com
Artificial Intelligence (AI) combines computer science and robust datasets to mimic natural
intelligence demonstrated by human beings to aid in problem-solving and decision-making …

Detection of spatio-temporal patterns in medical image stacks

LB Zerweck - tuprints.ulb.tu-darmstadt.de
In this work, the possibilities of exploiting the medical imaging modality of near-infrared
fluorescence optical imaging (NIR-FOI) for the detection of psoriatic arthritis (PsA) are …