Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Nadia Kanwal"'
Publikováno v:
IEEE Access, Vol 11, Pp 139097-139111 (2023)
Closed-circuit television (CCTV) systems have become pivotal tools in modern urban surveillance and traffic management, contributing significantly to road safety and security. This paper introduces an effective solution that capitalizes on CCTV video
Externí odkaz:
https://doaj.org/article/6853d24b9ff44ba6adaccbaa1c71aae8
Publikováno v:
IEEE Access, Vol 9, Pp 5354-5370 (2021)
Emotional care is important for some patients and their caregivers. Within a clinical or home care situation, technology can be employed to remotely monitor the emotional response of such people. This paper considers pupillometry as a non-invasive wa
Externí odkaz:
https://doaj.org/article/7ea9357c9ae54bb1bf26708eb9edbeef
Autor:
Nadia Kanwal, Mamoona Naveed Asghar, Mohammad Samar Ansari, Martin Fleury, Brian Lee, Marco Herbst, Yuansong Qiao
Publikováno v:
IEEE Access, Vol 8, Pp 153413-153424 (2020)
Surveillance video recording is a powerful method of deterring unlawful activities. A robust data protection-by-design solution can be helpful in terms of making a captured video immutable, as such recordings cannot become a piece of evidence until p
Externí odkaz:
https://doaj.org/article/69c818b1df50443692dcbb610b295d08
Publikováno v:
IEEE Access, Vol 8, Pp 187784-187807 (2020)
This paper proposes a lightweight cipher scheme aimed at the scalable extension of the High Efficiency Video Coding (HEVC) codec, referred to as the Scalable HEVC (SHVC) standard. This stream cipher, Symmetric Cipher for Lightweight Encryption based
Externí odkaz:
https://doaj.org/article/2f75ae79033942429a9c2f0a8d009fdf
Autor:
Amna Shifa, Mamoona N. Asghar, Martin Fleury, Nadia Kanwal, Mohammad S. Ansari, Brian Lee, Marco Herbst, Yuansong Qiao
Publikováno v:
IEEE Access, Vol 8, Pp 177131-177155 (2020)
Video Surveillance (VS) systems are commonly deployed for real-time abnormal event detection and autonomous video analytics. Video captured by surveillance cameras in real-time often contains identifiable personal information, which must be privacy p
Externí odkaz:
https://doaj.org/article/752bd144f6b943729d5eabfbc8381cd6
Publikováno v:
Cryptography, Vol 7, Iss 1, p 7 (2023)
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
Externí odkaz:
https://doaj.org/article/61c4b9fbfe8c4f28bc9fd5545b7b2c34
Publikováno v:
IEEE Access, Vol 7, Pp 111709-111726 (2019)
From an individual's perspective, technological advancement has merits and demerits. Video captured by surveillance cameras while a person goes about their daily life may improve their personal safety but the images collected may also represent an in
Externí odkaz:
https://doaj.org/article/f678d9223a46482d98adcdf9ca242e5c
Autor:
Syeda Maria Gillani, Mamoona Naveed Asghar, Amna Shifa, Saima Abdullah, Nadia Kanwal, Martin Fleury
Publikováno v:
Entropy, Vol 24, Iss 6, p 755 (2022)
Mobile multimedia communication requires considerable resources such as bandwidth and efficiency to support Quality-of-Service (QoS) and user Quality-of-Experience (QoE). To increase the available bandwidth, 5G network designers have incorporated Cog
Externí odkaz:
https://doaj.org/article/189ad0e229a844c69148608169a285ec
Publikováno v:
Procedia Computer Science. 218:2233-2242
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c24628ba10371ffb55d696f07ee1c49
https://doi.org/10.1016/j.procs.2023.01.199
https://doi.org/10.1016/j.procs.2023.01.199
Publikováno v:
IET Computer Vision, Vol 12, Iss 7, Pp 1018-1030 (2018)
This study explores the use of several non‐parametric statistical tests for evaluating the performances of computer vision algorithms, specifically corner detectors, as a more reliable alternative to the graphical approaches that have been commonly
Externí odkaz:
https://doaj.org/article/094a0627d570457cbbdf19a5c0051833