TmoTA: Simple, highly responsive tool for multiple object tracking annotation
M. Oyshi, S. Vogt, and S. Gumhold. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, page 1--11. New York, NY, USA, ACM, (April 2023)
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 Oyshi2023-ef
%A Oyshi, Marzan Tasnim
%A Vogt, Sebastian
%A Gumhold, Stefan
%B Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
%C New York, NY, USA
%D 2023
%I ACM
%K topic_visualcomputing TmoTA annotation multiple object tool tracking
%P 1--11
%T TmoTA: Simple, highly responsive tool for multiple object tracking annotation
@inproceedings{Oyshi2023-ef,
added-at = {2024-11-12T15:10:36.000+0100},
address = {New York, NY, USA},
author = {Oyshi, Marzan Tasnim and Vogt, Sebastian and Gumhold, Stefan},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/22db696b9e20c80ff4f06f6d81259639a/scadsfct},
booktitle = {Proceedings of the 2023 {CHI} Conference on Human Factors in Computing Systems},
conference = {CHI '23: CHI Conference on Human Factors in Computing Systems},
interhash = {c3144dce4c1d76ca5ebf677f2c83e723},
intrahash = {2db696b9e20c80ff4f06f6d81259639a},
keywords = {topic_visualcomputing TmoTA annotation multiple object tool tracking},
location = {Hamburg Germany},
month = apr,
pages = {1--11},
publisher = {ACM},
timestamp = {2024-11-22T15:50:08.000+0100},
title = {{TmoTA}: Simple, highly responsive tool for multiple object tracking annotation},
year = 2023
}
