Abstract
In addition to Big4GD model presented in this book, we have built a dataset of videos with crowds of different countries. Together these videos are files with tracking, pedestrian, and crowd features and geometric dimensions information. In addition, we have developed software for the detection and analysis of geometric dimensions in videos, along with a visualizer of features. Section 10.1 presents the Cultural Crowds dataset, a database of videos with crowds from various countries. We show how the dataset is organized. Section 10.2 is responsible for present GeoMind, a software developed in MATLAB App Designer with a simple interface to detect and analyze the geometrical dimensions in videos. Lastly, Sect. 10.3 presents a crowd features viewer.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
Cultural Crowds dataset can be accessed in http://rmfavaretto.pro.br/vhlab/datasets.php.
- 2.
Download and more information about how to use GeoMind can be found at http://rmfavaretto.pro.br/geomind.
- 3.
I would like to thank Victor Flavio Araujo, master student and colleague at VHLAB who developed this viewer during his research.
- 4.
Unity3D is available at https://unity3d.com/.
References
Rodriguez M, Sivic J, Laptev I, Audibert JY (2011) Data-driven crowd analysis in videos. In: Proceedings of the international conference on computer vision (ICCV)
Shaikh SH, Saeed K, Chaki N (2016) CAVIAR: context aware vision using image-based active recognition. Springer, Kolkata
Zhou B, Tang X, Zhang H, Wang X (2014) Measuring crowd collectiveness. IEEE Trans Patter Analys Mach Intell 36(8):1586–1599. https://doi.org/10.1109/TPAMI.2014.2300484
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Favaretto, R.M., Musse, S.R., Costa, A.B. (2019). Video Analysis Dataset and Applications. In: Emotion, Personality and Cultural Aspects in Crowds. Springer, Cham. https://doi.org/10.1007/978-3-030-22078-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-22078-5_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-22077-8
Online ISBN: 978-3-030-22078-5
eBook Packages: Computer ScienceComputer Science (R0)