Time-First Tracking: An Efficient Multiple-Object Tracking Architecture for Dynamic Surveillance Environments

Joachim Lohn-Jaramillo, Khari-Elijah Jarrett, Laura Ray, Richard Granger, Elijah Bowen

2021

Abstract

Given the countless hours of video that are generated in surveillance environments, real-time for multi-object tracking (MOT) is vastly insufficient. Current MOT methods prioritize tracking accuracy in crowded environments, with little concern for total computational expense, which has led to a reliance on expensive object detectors to perform tracking. Indiscriminate use of object detectors is not scalable for surveillance problems and ignores the inherent spatio-temporal variation in scene complexity in many real-world environments. A novel MOT method is proposed, termed “Time-First Tracking”, which relies on “shallowly” processed motion with a new tracking method, leaving the use of expensive object detection methods to an “as-needed” basis. The resulting vast reduction in pixels-processed may yield orders of magnitude in cost savings, making MOT more tractable. Time-First Tracking is adaptable to spatio-temporal changes in tracking difficulty; videos are divided into spatio-temporal sub-volumes, rated with different tracking difficulties, that are subsequently processed with different object localization methods. New MOT metrics are proposed to account for cost along with code to create a synthetic MOT dataset for motion-based tracking.

Paper Citation

in Harvard Style

Lohn-Jaramillo J., Jarrett K., Ray L., Granger R. and Bowen E. (2021). Time-First Tracking: An Efficient Multiple-Object Tracking Architecture for Dynamic Surveillance Environments.In Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-486-2, pages 602-611. DOI: 10.5220/0010304906020611

in Bibtex Style

@conference{icpram21,
author={Joachim Lohn-Jaramillo and Khari-Elijah Jarrett and Laura Ray and Richard Granger and Elijah Bowen},
title={Time-First Tracking: An Efficient Multiple-Object Tracking Architecture for Dynamic Surveillance Environments},
booktitle={Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2021},
pages={602-611},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010304906020611},
isbn={978-989-758-486-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Time-First Tracking: An Efficient Multiple-Object Tracking Architecture for Dynamic Surveillance Environments
SN - 978-989-758-486-2
AU - Lohn-Jaramillo J.
AU - Jarrett K.
AU - Ray L.
AU - Granger R.
AU - Bowen E.
PY - 2021
SP - 602
EP - 611
DO - 10.5220/0010304906020611