Suspicious human activity recognition: a review
Suspicious human activity recognition from surveillance video is an active research area of
image processing and computer vision. Through the visual surveillance, human activities …
image processing and computer vision. Through the visual surveillance, human activities …
ArchCam: Real time expert system for suspicious behaviour detection in ATM site
Abstract Automated Teller Machine (ATM) offers great convenience to many people by
allowing quick bank transactions and cash withdrawal. However, ATM machines are also …
allowing quick bank transactions and cash withdrawal. However, ATM machines are also …
A novel approach for suspicious activity detection with deep learning
N Dwivedi, DK Singh, DS Kushwaha - Multimedia Tools and Applications, 2023 - Springer
Suspicious human activities like fighting, shooting, fire have got serious security concern in
public places because of a steep surge in these types of cases all around. CCTV cameras …
public places because of a steep surge in these types of cases all around. CCTV cameras …
Suspicious action detection in intelligent surveillance system using action attribute modelling
Research in the field of image processing and computer vision for recognition of suspicious
activity is growing actively. Surveillance systems play a key role in monitoring of sensitive …
activity is growing actively. Surveillance systems play a key role in monitoring of sensitive …
Development of an algorithm for abnormal human behavior detection in intelligent video surveillance system
DZ Satybaldina, NS Glazyrina… - IOP Conference …, 2021 - iopscience.iop.org
The aim of the work is to develop algorithms for analyzing video data in real time based on
computer vision methods, as well as deep learning technologies for artificial neural networks …
computer vision methods, as well as deep learning technologies for artificial neural networks …
Video anomaly detection in confined areas
E Varghese, J Mulerikkal, A Mathew - Procedia computer science, 2017 - Elsevier
This paper proposes a new supervised algorithm for detecting abnormal events in confined
areas like ATM room, server room etc. In the training phase, algorithm learns the motion path …
areas like ATM room, server room etc. In the training phase, algorithm learns the motion path …
An efficient vision based elderly care monitoring framework using fall detection
R Malik, K Rastogi, V Tripathi… - Journal of Statistics and …, 2019 - Taylor & Francis
Fall is one of the major reason of elderly people living alone for getting injured. Numerous
elderly individuals are living alone in their homes. In case if the elderly tumble down, it might …
elderly individuals are living alone in their homes. In case if the elderly tumble down, it might …
Human fall detection using skeleton features
M Korumilli, KS Lasya, N Cheggoju… - … on Paradigm Shifts …, 2023 - ieeexplore.ieee.org
Unintentional falls of people, when left without serve may cause severe injuries and in
extreme cases, they may even lead to loss of lives. In order to provide timely medication …
extreme cases, they may even lead to loss of lives. In order to provide timely medication …
Suspicious Activity Detection Using Deep Learning Approach
K Barsagade, S Tabhane, V Satpute… - 2023 1st International …, 2023 - ieeexplore.ieee.org
Video Surveillance plays a pivotal position in today's global. The technologies have superior
an excessive amount of when synthetic intelligence., gadget learning, and deep learning are …
an excessive amount of when synthetic intelligence., gadget learning, and deep learning are …
Efficient motion encoding technique for activity analysis at atm premises
P Bajaj, M Pandey, V Tripathi, V Sanserwal - Progress in Advanced …, 2019 - Springer
Automated teller machines (ATMs) have become the predominant banking channel for the
majority of customer transactions. However, despite the multitudinous advantages of ATM, it …
majority of customer transactions. However, despite the multitudinous advantages of ATM, it …