TmoTA: Simple, Highly Responsive Tool for Multiple Object Tracking Annotation
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
Machine learning is applied in a multitude of sectors with very impressive results. This success is due to the availability of an ever-growing amount of data acquired by omnipresent sensor devices and platforms on the internet. But there is a scarcity of labeled data which is required for most ML methods. However, generation of labeled data requires much time and resources. In this paper, we propose a portable, Open Source, simple and responsive manual Tool for 2D multiple object Tracking Annotation (TmoTA). Besides responsiveness, our tool design provides several features like view centering and looped playback that speed up the annotation process. We evaluate our proposed tool by comparing TmoTA with the widely used manual labeling tools CVAT, Label Studio, and two semi-automated tools Supervisely and VATIC with respect to object labeling time and accuracy. The evaluation includes a user study and pre-case studies showing that the annotation time per object frame can be reduced by 20% to 40% over the first 20 annotated objects compared to the manual labeling tools.
Details
Originalsprache | Englisch |
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Titel | CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems |
Redakteure/-innen | Albrecht Schmidt, Kaisa Väänänen, EditoTesh Goyal, Per Ola Kristensson, Anicia Peters, Stefanie Mueller, Julie R. Williamson, Max L. Wilson |
Herausgeber (Verlag) | Association for Computing Machinery |
Seitenumfang | 11 |
ISBN (elektronisch) | 978-1-4503-9421-5 |
Publikationsstatus | Veröffentlicht - 19 Apr. 2023 |
Peer-Review-Status | Ja |
Publikationsreihe
Reihe | CHI: Conference on Human Factors in Computing Systems |
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ISSN | 1062-9432 |
Konferenz
Titel | CHI Conference on Human Factors in Computing Systems 2023 |
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Kurztitel | CHI 2023 |
Dauer | 23 - 28 April 2023 |
Webseite | |
Ort | Congress Center Hamburg (CCH) & online |
Stadt | Hamburg |
Land | Deutschland |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- data labeling, manual labeling, video sequence labeling