Deep learning approach for suspicious activity detection from surveillance video

CV Amrutha, C Jyotsna… - 2020 2nd International …, 2020 - ieeexplore.ieee.org
Video Surveillance plays a pivotal role in today's world. The technologies have been
advanced too much when artificial intelligence, machine learning and deep learning pitched …

Real-time anomaly recognition through CCTV using neural networks

V Singh, S Singh, P Gupta - Procedia Computer Science, 2020 - Elsevier
Nowadays, there has been a rise in the amount of disruptive and offensive activities that
have been happening. Due to this, security has been given principal significance. Public …

Crime intention detection system using deep learning

UV Navalgund, K Priyadharshini - … International Conference on …, 2018 - ieeexplore.ieee.org
Circuit Television Cameras (CCTV's) are widely used to control occurrence of crimes in the
surroundings. Although CCTV's are deployed at various public and private areas to monitor …

Video surveillance for violence detection using deep learning

M Sharma, R Baghel - Advances in Data Science and Management …, 2020 - Springer
In order to detect violence through surveillance cameras, we provide a neural architecture
which can sense violence and can be a measure to prevent any chaos. This architecture …

Deep learning approaches for video-based anomalous activity detection

K Pawar, V Attar - World Wide Web, 2019 - Springer
The pervasive use of cameras at indoor and outdoor premises on account of recording the
activities has resulted into deluge of long video data. Such surveillance videos are …

CNN-BiLSTM model for violence detection in smart surveillance

R Halder, R Chatterjee - SN Computer science, 2020 - Springer
In this paper, a lightweight computational model has been introduced for the better
classification of violent and non-violent activities. Nowadays, the occurrences of violent …

A survey on human activity recognition using sensors and deep learning methods

K Banjarey, SP Sahu… - 2021 5th international …, 2021 - ieeexplore.ieee.org
One of the most difficult challenges in the field of computer vision is human activity
recognition (HAR). The main purpose of intelligent video system is to determine the actions …

Suspicious activity recognition for monitoring cheating in exams

MD Genemo - Proceedings of the Indian National Science Academy, 2022 - Springer
Video processing is getting special attention from research and industries. The existence of
smart surveillance cameras with high processing power has opened the for making it …

E2E-VSDL: End-to-end video surveillance-based deep learning model to detect and prevent criminal activities

MQ Gandapur - Image and Vision Computing, 2022 - Elsevier
Crime detection and their prediction is a fundamental process to reduce criminal activities
before they actually happen. Moreover, the detection method is vital since can it potentially …

Applying the convolutional neural network deep learning technology to behavioural recognition in intelligent video

L Qin, N Yu, D Zhao - Tehnički vjesnik, 2018 - hrcak.srce.hr
Sažetak In order to improve the accuracy and real-time performance of abnormal behaviour
identification in massive video monitoring data, the authors design intelligent video …