Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data
Authors
Keywords
Anomaly detection, Two-stream network, Anomaly recognition, Surveillance videos
Journal
Future Generation Computer Systems-The International Journal of eScience
Volume 129, Issue -, Pages 286-297
Publisher
Elsevier BV
Online
2021-11-04
DOI
10.1016/j.future.2021.10.033
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Fuzzy Logic in Surveillance Big Video Data Analysis
- (2021) Khan Muhammad et al. ACM COMPUTING SURVEYS
- CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks
- (2020) Waseem Ullah et al. MULTIMEDIA TOOLS AND APPLICATIONS
- An Adaptive Trust Boundary Protection for IIoT Networks Using Deep-Learning Feature-Extraction-Based Semisupervised Model
- (2020) Mohammad Mehedi Hassan et al. IEEE Transactions on Industrial Informatics
- A Robust Deep-Learning-Enabled Trust-Boundary Protection for Adversarial Industrial IoT Environment
- (2020) Mohammad Mehedi Hassan et al. IEEE Internet of Things Journal
- Multiview Summarization and Activity Recognition Meet Edge Computing in IoT Environments
- (2020) Tanveer Hussain et al. IEEE Internet of Things Journal
- Action recognition using optimized deep autoencoder and CNN for surveillance data streams of non-stationary environments
- (2019) Amin Ullah et al. Future Generation Computer Systems-The International Journal of eScience
- A neuro-heuristic approach for recognition of lung diseases from X-ray images
- (2019) Qiao Ke et al. EXPERT SYSTEMS WITH APPLICATIONS
- A regional adaptive variational PDE model for computed tomography image reconstruction
- (2019) Wei Wei et al. PATTERN RECOGNITION
- Cover the Violence: A Novel Deep-Learning-Based Approach Towards Violence-Detection in Movies
- (2019) Samee Ullah Khan et al. Applied Sciences-Basel
- A decentralised approach to privacy preserving trajectory mining
- (2019) Romana Talat et al. Future Generation Computer Systems-The International Journal of eScience
- A hybrid deep learning model for efficient intrusion detection in big data environment
- (2019) Mohammad Mehedi Hassan et al. INFORMATION SCIENCES
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
- (2019) Alejandro Barredo Arrieta et al. Information Fusion
- Building edge intelligence for online activity recognition in service-oriented IoT systems
- (2018) Zhenqiu Huang et al. Future Generation Computer Systems-The International Journal of eScience
- Activity Recognition Using Temporal Optical Flow Convolutional Features and Multilayer LSTM
- (2018) Amin Ullah et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A Survey of Multi-Objective Optimization in Wireless Sensor Networks: Metrics, Algorithms, and Open Problems
- (2017) Zesong Fei et al. IEEE Communications Surveys and Tutorials
- Histograms of Optical Flow Orientation and Magnitude and Entropy to Detect Anomalous Events in Videos
- (2017) Rensso Victor Hugo Mora Colque et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- An anomaly-introduced learning method for abnormal event detection
- (2017) Chengkun He et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Graph formulation of video activities for abnormal activity recognition
- (2017) Dinesh Singh et al. PATTERN RECOGNITION
- A survey of anomaly detection techniques in financial domain
- (2016) Mohiuddin Ahmed et al. Future Generation Computer Systems-The International Journal of eScience
- Accelerating Very Deep Convolutional Networks for Classification and Detection
- (2016) Xiangyu Zhang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Combining motion and appearance cues for anomaly detection
- (2016) Ying Zhang et al. PATTERN RECOGNITION
- Swarm Intelligence for Detecting Interesting Events in Crowded Environments
- (2015) Vagia Kaltsa et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Gaussian Process Regression-Based Video Anomaly Detection and Localization With Hierarchical Feature Representation
- (2015) Kai-Wen Cheng et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Multiple Target Tracking by Learning-Based Hierarchical Association of Detection Responses
- (2012) Chang Huang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Traffic event classification at intersections based on the severity of abnormality
- (2011) Ömer Aköz et al. MACHINE VISION AND APPLICATIONS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now