Quality-adaptive deep learning for pedestrian detection

K Tahboub, D Güera, AR Reibman… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Pedestrian detection is a fundamental task for many applications including autonomous
vehicles and surveillance systems. In a mobile or networked environment bandwidth is …

An intelligent crowdsourcing system for forensic analysis of surveillance video

K Tahboub, N Gadgil, J Ribera… - Video Surveillance …, 2015 - spiedigitallibrary.org
Video surveillance systems are of a great value for public safety. With an exponential
increase in the number of cameras, videos obtained from surveillance systems are often …

Events in crowded places: A smart service management

F Becattini, A Ferracani, G Becchi… - Pattern Recognition Letters, 2022 - Elsevier
In this work we present eSERVANT (eventS in crowdEd places: a smaRt serVice
mANagemenT), an ICT hardware and software infrastructure that allows the management of …

Person Re-identification and Intelligent Crowdsourcing with Applications in Public Safety

K Tahboub - 2017 - search.proquest.com
Video surveillance systems are of a great value for public safety. They are used as an
effective tool for crime prevention and as an" after the fact" forensic tool. Many automatic …

Characterizing the uncertainty of classification methods and its impact on the performance of crowdsourcing

J Ribera, K Tahboub, EJ Delp III - … in a Web and Mobile World …, 2015 - spiedigitallibrary.org
Video surveillance systems are widely deployed for public safety. Real-time monitoring and
alerting are some of the key requirements for building an intelligent video surveillance …