State-of-the-art violence detection techniques in video surveillance security systems: a systematic review
B Omarov, S Narynov, Z Zhumanov, A Gumar… - PeerJ Computer …, 2022 - peerj.com
We investigate and analyze methods to violence detection in this study to completely
disassemble the present condition and anticipate the emerging trends of violence discovery …
disassemble the present condition and anticipate the emerging trends of violence discovery …
An overview of violence detection techniques: current challenges and future directions
Abstract The Big Video Data generated in today's smart cities has raised concerns from its
purposeful usage perspective, where surveillance cameras, among many others are the …
purposeful usage perspective, where surveillance cameras, among many others are the …
Human action recognition using attention based LSTM network with dilated CNN features
Human action recognition in videos is an active area of research in computer vision and
pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for …
pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for …
Clustering-based speech emotion recognition by incorporating learned features and deep BiLSTM
Emotional state recognition of a speaker is a difficult task for machine learning algorithms
which plays an important role in the field of speech emotion recognition (SER). SER plays a …
which plays an important role in the field of speech emotion recognition (SER). SER plays a …
Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data
In the last few years, visual sensors are deployed almost everywhere, generating a massive
amount of surveillance video data in smart cities that can be inspected intelligently to …
amount of surveillance video data in smart cities that can be inspected intelligently to …
MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach
S Kwon - Expert Systems with Applications, 2021 - Elsevier
Speech is the most dominant source of communication among humans, and it is an efficient
way for human–computer interaction (HCI) to exchange information. Nowadays, speech …
way for human–computer interaction (HCI) to exchange information. Nowadays, speech …
DB-Net: A novel dilated CNN based multi-step forecasting model for power consumption in integrated local energy systems
In the era of cutting edge technology, excessive demand for electricity is rising day by day,
due to the exponential growth of population, electricity reliant vehicles, and home …
due to the exponential growth of population, electricity reliant vehicles, and home …
Efficient violence detection in surveillance
R Vijeikis, V Raudonis, G Dervinis - Sensors, 2022 - mdpi.com
Intelligent video surveillance systems are rapidly being introduced to public places. The
adoption of computer vision and machine learning techniques enables various applications …
adoption of computer vision and machine learning techniques enables various applications …
An efficient anomaly recognition framework using an attention residual LSTM in surveillance videos
Video anomaly recognition in smart cities is an important computer vision task that plays a
vital role in smart surveillance and public safety but is challenging due to its diverse …
vital role in smart surveillance and public safety but is challenging due to its diverse …
Vision transformer and deep sequence learning for human activity recognition in surveillance videos
Human Activity Recognition is an active research area with several Convolutional Neural
Network (CNN) based features extraction and classification methods employed for …
Network (CNN) based features extraction and classification methods employed for …