Outputs (21)

Unlocking Trust: Advancing Activity Recognition in Video Imagery (2024)
Journal Article
Yousuf, M. J., Lee, B., Asghar, M. N., Ansari, M. S., & Kanwal, N. (2024). Unlocking Trust: Advancing Activity Recognition in Video Imagery. IEEE Access, 12, https://doi.org/10.1109/access.2024.3503284

Anonymous activity recognition is pivotal in addressing privacy concerns amidst the widespread use of facial recognition technologies (FRTs). While FRTs enhance security and efficiency, they raise significant privacy issues. Anonymous activity recogn... Read More about Unlocking Trust: Advancing Activity Recognition in Video Imagery.

Deep Learning Based Lightweight Model for Brain Tumor Classification and Segmentation (2024)
Book Chapter
Andleeb, I., Hussain, B. Z., Ansari, S., Ansari, M. S., Kanwal, N., & Aslam, A. (2024). Deep Learning Based Lightweight Model for Brain Tumor Classification and Segmentation. In Advances in Computational Intelligence Systems (491-503). Springer Nature [academic journals on nature.com]. https://doi.org/10.1007/978-3-031-47508-5_38

This paper presents two lightweight deep learning models for efficient detection and segmentation of brain tumors from MRI scans. A custom-made Convolutional Neural Network (CNN) is designed for identification of four different classes of brain tumor... Read More about Deep Learning Based Lightweight Model for Brain Tumor Classification and Segmentation.

FireNet-v2: Improved Lightweight Fire Detection Model for Real-Time IoT Applications (2023)
Journal Article
Shees, A., Ansari, M. S., Varshney, A., Asghar, M. N., & Kanwal, N. (2023). FireNet-v2: Improved Lightweight Fire Detection Model for Real-Time IoT Applications. Procedia Computer Science, 218, 2233-2242. https://doi.org/10.1016/j.procs.2023.01.199

Fire hazards cause huge ecological, social and economical losses in day to day life. Due to the rapid increase in the prevalence of fire accidents, it has become vital to equip the assets with fire prevention systems. There have been numerous researc... Read More about FireNet-v2: Improved Lightweight Fire Detection Model for Real-Time IoT Applications.

VidSearch: Privacy-by-Design Video Search and Retrieval System for Large-Scale CCTV Data (2023)
Presentation / Conference Contribution
Tahir, M., Qiao, Y., Kanwal, N., Lee, B., & Asghar, M. N. (2023, December). VidSearch: Privacy-by-Design Video Search and Retrieval System for Large-Scale CCTV Data. Presented at 2023 International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, USA

The surge in surveillance camera deployment in the era of Big Data and the Internet of Things (IoT) has emphasized the paramount importance of safeguarding the privacy of individuals, objects, and locations they record. Therefore, this paper proposes... Read More about VidSearch: Privacy-by-Design Video Search and Retrieval System for Large-Scale CCTV Data.

Real-Time Event-Driven Road Traffic Monitoring System Using CCTV Video Analytics (2023)
Journal Article
Tahir, M., Qiao, Y., Kanwal, N., Lee, B., & Asghar, M. N. (2023). Real-Time Event-Driven Road Traffic Monitoring System Using CCTV Video Analytics. IEEE Access, 11, 139097-139111. https://doi.org/10.1109/access.2023.3340144

Facial recognition technology could soon be everywhere – here’s how to make it safer (2023)
Digital Artefact
Kanwal, N. (2023). Facial recognition technology could soon be everywhere – here’s how to make it safer. [Blog Style Article]

SecureCam: Selective Detection and Encryption Enabled Application for Dynamic Camera Surveillance Videos (2023)
Journal Article
Aribilola, I., Asghar, M. N., Kanwal, N., Fleury, M., & Lee, B. (2023). SecureCam: Selective Detection and Encryption Enabled Application for Dynamic Camera Surveillance Videos. IEEE Transactions on Consumer Electronics, 69(2), 156-169. https://doi.org/10.1109/tce.2022.3228679

Privacy Preserved Video Summarization of Road Traffic Events for IoT Smart Cities (2023)
Journal Article
Tahir, M., Qiao, Y., Kanwal, N., Lee, B., & Asghar, M. N. (2023). Privacy Preserved Video Summarization of Road Traffic Events for IoT Smart Cities. Cryptography, 7(1), Article ARTN 7. https://doi.org/10.3390/cryptography7010007

The purpose of smart surveillance systems for automatic detection of road traffic accidents is to quickly respond to minimize human and financial losses in smart cities. However, along with the self-evident benefits of surveillance applications, priv... Read More about Privacy Preserved Video Summarization of Road Traffic Events for IoT Smart Cities.

Proceedings of the 35th International BCS Human Computer Interaction Conference (HCI 2022) - Index (2022)
Presentation / Conference Contribution
de Quincey, E., Woolley, S. I., Ortolani, M., Misirli, G., Mandal, B., Kanwal, N., Mitchell, J., & Rooney, J. (2022, July). Proceedings of the 35th International BCS Human Computer Interaction Conference (HCI 2022) - Index. Presented at 35th International BCS Human-Computer Interaction Conference (HCI2022), Keele, Staffordshire, England, UK

AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS (2022)
Journal Article
Aribilola, I., Asghar, M., Kanwal, N., Ansari, M., & Lee, B. (2022). AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS. https://doi.org/10.1109/issc55427.2022.9826141

The surveillance videos taken from dynamic cam-eras are susceptible to multiple security threats like replay attacks, man-in-the-middle attacks, pixel correlation attacks etc. Using unsupervised learning, it is a challenge to detect objects in such s... Read More about AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS.