Abstrakt

State-of-the-art (SoTA) detection-based tracking methods mostly accomplish the detection and the identification feature learning tasks separately. Only a few efforts include the joint learning of detection and identification features. This work proposes two novel one-stage trackers by introducing implicit and explicit attention to the tracking research topic. For our tracking system based on implicit attention, we further introduce a novel fusion of feature maps combining information from different abstraction levels. For our tracking system based on explicit attention, we introduce utilization of an additional auxiliary function. These systems outperform the SoTA tracking systems in terms of MOTP (Multi-Object Tracking Precision) and IDF1 score when evaluated on public benchmark datasets including MOT15, MOT16, and MOT17. High MOTP score indicates precise detection of bounding boxes of objects, while high IDF1 score indicates accurate ID detections, which is very crucial for surveillance and security systems. Therefore, proposed systems are good choice for event-detections in surveillance feeds as we are capable of detecting correct ID and precise location
OriginalsprogEngelsk
TitelIntelligent Systems and Applications : Proceedings of the 2021 Intelligent Systems Conference (IntelliSys) Volume 1
RedaktørerKohei Arai
Antal sider19
Vol/bind2
ForlagSpringer
Publikationsdato2022
Sider736-754
ISBN (Trykt)978-3-030-82195-1
ISBN (Elektronisk)978-3-030-82196-8
DOI
StatusUdgivet - 2022
BegivenhedIntelligent Systems Conference 2021 - Amsterdam, Holland
Varighed: 2 sep. 20213 sep. 2021
https://saiconference.com/IntelliSys

Konference

KonferenceIntelligent Systems Conference 2021
Land/OmrådeHolland
ByAmsterdam
Periode02/09/202103/09/2021
Internetadresse
NavnLecture Notes in Networks and Systems
Vol/bind295
ISSN2367-3370

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