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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …