is the open-source quantitative analysis toolkit for animal experiments. It provides the easy video preprocessing by the visual programming and estimates positions and/or orientations of each animals. In addition, it can also analyze the output-data; the distance from the designated position, the region-of-interests and the interactions between each animal.
The new version was released. And, finally, the paper is out now!.
We don't like e-mail, so please join our Slack if you want some good supports.
We don't know whether UMATracker is actually used for scientific reasoning, and this prevents us from aggressive developing and supporting.
Please send your use-case to us from this form (The requests is also okay).
We have not much time to promote UMATracker, so please share your use-cases or lecture notes online. It is also good way that you simply send them to us and we will publish on our web-site.
UMATracker is "UMATracker", not "UMA Tracker" or "UmaTracker".
NO space, "UMA" and "T" is upper case. ;-)
Long talk (20 min.)
Lightning talk (5 min.)
UMATracker has been used in, or cited by following publications:
I. Hikosaka, I. Aihara, Y. Eisaki, T. Kawabe,
Proposal of Speed Control Method for Automobile Based on Video Analysis of Landing Motion of Seagulls,
Transactions of the Society of Instrument and Control Engineers, 2019.
M. F. López-Gutiérrez, J. J. Ortíz, F. J. Camacho, L. J. Young, S. Alcauter,
Social bonding induces changes in brain functional connectivity in male and female monogamous voles: a longitudinal fMRI study,
BioRxiv (Preprint), 2019.
T. Nakayama, T. Shimmura, A. Shinomiya, K. Okimura, Y. Takehana, Y. Furukawa, Takayuki Shimo, Takumi Senga, M. Nakatsukasa, T. Nishimura, M. Tanaka, K. Okubo, Y. Kamei, K. Naruse, M. Tanaka,
Seasonal regulation of the lncRNA LDAIR modulates self-protective behaviours during the breeding season,
Nature Ecology & Evolution, 2019.
S. Kasugai, H. Shibata, K. Mizuno, T. Nakashima, T. Shizu, M. Abe, T. Saga,
How does the cockroach which escaped from an enemy behave?,
66th Annual Meeting of Ecological Society of Japan (ESJ66), 2019.
Y. Harada, M. Matsuo, Y. Kamei, M. Goto, S. Fukamachi,
Evolutionary history of the medaka long-wavelength sensitive genes and effects of artificial regression by gene loss on behavioural photosensitivity,
Scientific reports, 2019.
L. Ivorra, P. G. Cardoso, S. K. Chan, K. Tagulao, C. Cruzeiro,
Environmental characterization of 4, 4′-dichlorobenzophenone in surface waters from Macao and Hong Kong coastal areas (Pearl River Delta) and its toxicity on two biological models: Artemia salina and Daphnia magna,
Ecotoxicology and environmental safety, 2019.
S. Sugiyama, Y. Sugimoto, K. Osuka,
Gait analysis and simulation of the locusts focusing on difference in leg length,
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), 2018.
M. G. N. Crozara,
Um sistema de código aberto para registro e análise de dados comportamentais categóricos, morfológicos e cinemáticos em animais de laboratório,
Master thesis (Universidade Federal de Santa Catarina), 2017.
S. Yokoi, S. Ansai, M. Kinoshita, K. Naruse, Y. Kamei, L. J. Young, T. Okuyama and H. Takeuchi,
Mate-guarding behavior enhances male reproductive success via familiarization with mating partners in medaka fish,
Frontiers in Zoology, 2016.
UMATracker has been used in the following lectures/workshops/courses:
The non-profit research or educational use
You can use UMATracker freely. If you publish the paper which made use of UMATracker, please refer "UMATracker" in your paper and tell us. If you use UMATracker in your lecture, please let us know.
The use in a commercial enterprise
Please contact us. We will provide the additional information about the commercial license and support.
This project has been supported by
The Exploratory IT Human Resources Project (The MITOH Program),
The project summary in Japanese