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Multiple object tracking and forecasting : jointly predicting current and future object locations
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Kesa, Oluwafunmilola, Styles, Olly and Sanchez Silva, Victor (2022) Multiple object tracking and forecasting : jointly predicting current and future object locations. In: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Waikoloa, HI, USA, 4-8 Jan 2022 pp. 560-569. ISBN 2690-621X. doi:10.1109/WACVW54805.2022.00062 ISSN 9781665458245.
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Official URL: http://dx.doi.org/10.1109/WACVW54805.2022.00062
Abstract
This paper introduces a joint learning architecture (JLA) for multiple object tracking (MOT) and multiple object forecasting (MOF) in which the goal is to predict tracked objects’ current and future locations simultaneously. MOF is a recent formulation of trajectory forecasting where the full object bounding boxes are predicted rather than trajectories alone. Existing works separate multiple object tracking and multiple object forecasting. Such an approach can propagate errors in tracking to forecasting. We propose a joint learning architecture for multiple object tracking and forecasting (MOTF). Our approach reduces the chances of propagating tracking errors to the forecasting module. In addition, we show, through a new data association step, that forecasting predictions can be used for tracking objects during occlusion. We adapt an existing MOT method to simultaneously predict current and future object locations and confirm that JLA benefits both the MOT and MOF tasks.
Item Type: | Conference Item (Paper) | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Publisher: | IEEE | ||||
ISBN: | 2690-621X | ||||
ISSN: | 9781665458245 | ||||
Book Title: | 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) | ||||
Official Date: | 15 February 2022 | ||||
Dates: |
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Page Range: | pp. 560-569 | ||||
DOI: | 10.1109/WACVW54805.2022.00062 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) | ||||
Type of Event: | Conference | ||||
Location of Event: | Waikoloa, HI, USA | ||||
Date(s) of Event: | 4-8 Jan 2022 |
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