Related references
Note: Only part of the references are listed.Fuzzy Logic in Surveillance Big Video Data Analysis: Comprehensive Review, Challenges, and Research Directions
Khan Muhammad et al.
ACM COMPUTING SURVEYS (2022)
CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks
Waseem Ullah et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2021)
An Adaptive Trust Boundary Protection for IIoT Networks Using Deep-Learning Feature-Extraction-Based Semisupervised Model
Mohammad Mehedi Hassan et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
A Robust Deep-Learning-Enabled Trust-Boundary Protection for Adversarial Industrial IoT Environment
Mohammad Mehedi Hassan et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
Multiview Summarization and Activity Recognition Meet Edge Computing in IoT Environments
Tanveer Hussain et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
RWF-2000: An Open Large Scale Video Database for Violence Detection
Ming Cheng et al.
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (2021)
Long-term recurrent convolutional network violent Behaviour recognition with attention mechanism
Qiming Liang et al.
2020 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE COMMUNICATION AND NETWORK SECURITY (CSCNS2020) (2021)
A decentralised approach to privacy preserving trajectory mining
Romana Talat et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)
A hybrid deep learning model for efficient intrusion detection in big data environment
Mohammad Mehedi Hassan et al.
INFORMATION SCIENCES (2020)
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Alejandro Barredo Arrieta et al.
INFORMATION FUSION (2020)
Action recognition using optimized deep autoencoder and CNN for surveillance data streams of non-stationary environments
Amin Ullah et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
A neuro-heuristic approach for recognition of lung diseases from X-ray images
Qiao Ke et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
A regional adaptive variational PDE model for computed tomography image reconstruction
Wei Wei et al.
PATTERN RECOGNITION (2019)
Cover the Violence: A Novel Deep-Learning-Based Approach Towards Violence-Detection in Movies
Samee Ullah Khan et al.
APPLIED SCIENCES-BASEL (2019)
Activity Recognition Using Temporal Optical Flow Convolutional Features and Multilayer LSTM
Amin Ullah et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
An anomaly-introduced learning method for abnormal event detection
Chengkun He et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
Building edge intelligence for online activity recognition in service-oriented IoT systems
Zhenqiu Huang et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
A Survey of Multi-Objective Optimization in Wireless Sensor Networks: Metrics, Algorithms, and Open Problems
Zesong Fei et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2017)
Histograms of Optical Flow Orientation and Magnitude and Entropy to Detect Anomalous Events in Videos
Rensso Victor Hugo Mora Colque et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2017)
Graph formulation of video activities for abnormal activity recognition
Dinesh Singh et al.
PATTERN RECOGNITION (2017)
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
Rui Hou et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Joao Carreira et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
A survey of anomaly detection techniques in financial domain
Mohiuddin Ahmed et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2016)
Accelerating Very Deep Convolutional Networks for Classification and Detection
Xiangyu Zhang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2016)
Combining motion and appearance cues for anomaly detection
Ying Zhang et al.
PATTERN RECOGNITION (2016)
Realtime Anomaly Detection using Trajectory-level Crowd Behavior Learning
Aniket Bera et al.
PROCEEDINGS OF 29TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, (CVPRW 2016) (2016)
Swarm Intelligence for Detecting Interesting Events in Crowded Environments
Vagia Kaltsa et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2015)
Gaussian Process Regression-Based Video Anomaly Detection and Localization With Hierarchical Feature Representation
Kai-Wen Cheng et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2015)
Learning Spatiotemporal Features with 3D Convolutional Networks
Du Tran et al.
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Traffic event classification at intersections based on the severity of abnormality
Omer Akoz et al.
MACHINE VISION AND APPLICATIONS (2014)
Multiple Target Tracking by Learning-Based Hierarchical Association of Detection Responses
Chang Huang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Share Paper
