Browsing by Subject "Violence detection"
Now showing items 1-4 of 4
-
Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
(Brac University, 2022-05)Throughout time, there has been a surge of hostile activities in public places across the globe. With the advancement in technology, it has been possible to monitor public places through real time surveillance. Video ... -
Efficient Spatio-temporal feature extraction for human action recognition
(Brac University, 2021-11)Human actuation recognition (HAR) has been performed using current deep learning (DL) algorithms using a variety of input formats, including video footage, optical flow, and even skeleton points, which may be acquired ... -
Optical flow based violence detection from video footage using hybrid MobileNet and Bi-LSTM
(Brac University, 2023-09)This thesis presents a novel approach for the automatic detection, categorization, and sub-categorization of violent and nonviolent behaviors in video footage. This research addresses the growing necessity for enhanced ... -
Using deep learning algorithms to detect violent activities
(BRAC University, 2019-05)It is of extensive importance to develop a technique for automatic surveillance video analysis to recognize the presence of violence. In this work, to identify violent videos, we put forward a deep neural network. For ...
