Enhancing Situational Awareness in Surveillance: Leveraging Data Visualization Techniques for Machine Learning-based Video Analytics Outcomes

BR Ardabili, S Yao, AD Pazho, L Bourque… - arXiv preprint arXiv …, 2023 - arxiv.org
The pervasive deployment of surveillance cameras produces a massive volume of data,
requiring nuanced interpretation. This study thoroughly examines data representation and …

A system for visual analysis of objects behavior in surveillance videos

CM Fonseca, JGS Paiva - 2021 34th SIBGRAPI Conference on …, 2021 - ieeexplore.ieee.org
Closed-circuit television (CCTV) surveillance systems are employed in different scenarios to
prevent a variety of threats, producing a large volume of video footage. Several surveillance …

Geovisual analytics and interactive machine learning for situational awareness

M Karimzadeh, LS Snyder, DS Ebert - arXiv preprint arXiv:1910.05441, 2019 - arxiv.org
The first responder community has traditionally relied on calls from the public, officially-
provided geographic information and maps for coordinating actions on the ground. The …

[图书][B] Studying The Impact Of Video Analytics For Pre, Live, And Post Event Analysis On Outcomes Of Criminal Justice

M Shah, H Idrees, R Surette - 2018 - ojp.gov
Videos from public-space surveillance cameras have the potential to aid in post-event
investigations and facilitate intervention in live criminal incidents by flagging them as they …

[图书][B] Lessons learned implementing video analytics in a public surveillance network

R Shukla, DS Lawrence, BE Peterson - 2020 - urban.org
Video analytics encompasses a range of software enhancements that law enforcement
agencies use to improve public safety and aid investigations. Perimeter, crowd, and object …

Hotspot: Making computer vision more effective for human video surveillance

C Nguyen, W Feng, F Liu - Information Visualization, 2016 - journals.sagepub.com
Studies have shown that the human capability of monitoring multiple surveillance videos is
limited. Computer vision techniques have been developed to detect abnormal events to …

[PDF][PDF] Surveillance video analytics for large camera networks

P Tu, F Wheeler, N Krahnstoever, T Sebastian… - SPIE …, 2007 - academia.edu
Extensive networks of surveillance cameras are increasingly deployed in public and private
facilities, with tremendous potential value for safety and security. However, because manual …

ExTraVis: exploration of traffic incidents using a visual interactive system

J Zerafa, MR Islam, MA Kabir… - 2021 25th International …, 2021 - ieeexplore.ieee.org
The impact of road traffic incidents (eg, road accidents, vehicle breakdowns) have become
progressively worse over the years, being a major cause of many adverse issues such as …

Citizenhelper-training: AI-infused system for multimodal analytics to assist training exercise debriefs at emergency services

R Pandey, B Bannan, H Purohit - ISCRAM 2020 conference proceedings …, 2020 - par.nsf.gov
ABSTRACT The adoption of Artificial Intelligence (AI) technologies across various real-world
applications for human performance augmentation demonstrates an unprecedented …

Towards Scalable Abnormal Behavior Detection in Automated Surveillance

T Alkanat, HGJ Groot, M Zwemer… - … for Industries (AI4I), 2021 - ieeexplore.ieee.org
This study presents a scalable automated video surveillance framework that (1)
automatically detects the occurrences of abnormal behavior patterns by both pedestrians …