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.
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Notes
- 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
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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
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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
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DOI: https://doi.org/10.1007/978-3-030-22078-5_10
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