City vision: CCTV images based public surveillance model

Muhammad Irshad, Xueling Zhou, Sohail M. Noman, Aparna Murthy, Bin Hu, Sami Ahmed Haider, Oluwaseyi Abraham Olawale

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

A large number of criminals can be identified with the help of the forensic information derived from CCTV images, which is common in modern cities. CCTV cameras are commonly used to detect suspects of interest. Using this technique, it is also possible to obtain other types of forensic evidence and intelligence information. If CCTV images are used as forensic evidence, the reliability of the images must be determined. Case studies, empirical experiments, and phenomenological inquiry are all used to investigate this new type of evidence. Investigating the reliability of photographic evidence requires an interdisciplinary and multifaceted approach. According to this study, the use of CCTV images as forensic evidence is fraught with serious reliability problems. According to the study, reliability will be improved by establishing more robust methods that enhance the scientific model of repeatability and validation. As part of the research, a new theoretical model is developed that examines the relationship between photographic and physical proof and the application of photographic evidence in criminal investigations. In addition, the work develops a method for more reliable photo interpretation.
Original languageEnglish
Title of host publication2021 International Conference on Electronic Information Technology and Smart Agriculture (ICEITSA)
PublisherIEEE
ISBN (Electronic)9781665413008
ISBN (Print)9781665413015
DOIs
Publication statusPublished - 16 Feb 2022
EventInternational Conference on Electronic Information Technology and Smart Agriculture 2021 - Huaihua, China
Duration: 10 Dec 202112 Dec 2021
https://ieeexplore.ieee.org/xpl/conhome/9707140/proceeding

Conference

ConferenceInternational Conference on Electronic Information Technology and Smart Agriculture 2021
Abbreviated titleICEITSA 2021
Country/TerritoryChina
CityHuaihua
Period10/12/2112/12/21
Internet address

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