A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Real Time Multi Object Detection & Tracking on Urban Cameras
Processing video from urban video surveillance cameras requires the use of algorithms for multi-object detection and tracking on video in real-time. However, existing computer vision algorithms require the use of powerful equipment and are not sufficiently optimized to process multiple video streams simultaneously. This article proposes an approach to using the tracker in conjunction with the YoloV4 object detector for real-time video processing on medium-power equipment. Paper also presents the solution for difficulties that arise during work with optical flow. The results of the comparison of the accuracy and speed of image processing of the applied approach with such trackers as IOU17, SORT, KCF, and MOSSEE are also presented.
Real Time Multi Object Detection & Tracking on Urban Cameras
Processing video from urban video surveillance cameras requires the use of algorithms for multi-object detection and tracking on video in real-time. However, existing computer vision algorithms require the use of powerful equipment and are not sufficiently optimized to process multiple video streams simultaneously. This article proposes an approach to using the tracker in conjunction with the YoloV4 object detector for real-time video processing on medium-power equipment. Paper also presents the solution for difficulties that arise during work with optical flow. The results of the comparison of the accuracy and speed of image processing of the applied approach with such trackers as IOU17, SORT, KCF, and MOSSEE are also presented.
Real Time Multi Object Detection & Tracking on Urban Cameras
Sustain. Civil Infrastruct.
Akhnoukh, Amin (editor) / Kaloush, Kamil (editor) / Elabyad, Magid (editor) / Halleman, Brendan (editor) / Erian, Nihal (editor) / Enmon II, Samuel (editor) / Henry, Cherylyn (editor) / Minnikhanov, Rifkat (author) / Dagaeva, Maria (author) / Aslyamov, Timur (author)
International Road Federation World Meeting & Exhibition ; 2021 ; Dubai, United Arab Emirates
2022-04-21
12 pages
Article/Chapter (Book)
Electronic Resource
English
Real-Time Detection and Tracking of Traffic Shock Waves by Conjugated Low-Angle Cameras
| British Library Online Contents | 2013
Computer Vision and Multi-Object Tracking for Traffic Measurement from Campus Monitoring Cameras
| British Library Conference Proceedings | 2021
Driver's Eyes Detection and Tracking System Using Two Cameras
| British Library Conference Proceedings | 2010