Vision-Based Analysis of Small Groups in Pedestrian Crowds
| العنوان: | Vision-Based Analysis of Small Groups in Pedestrian Crowds |
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| المؤلفون: | R. B. Ruback, Robert T. Collins, Weina Ge |
| المصدر: | IEEE Transactions on Pattern Analysis and Machine Intelligence. 34:1003-1016 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2012. |
| سنة النشر: | 2012 |
| مصطلحات موضوعية: | Collective behavior, Pedestrian detection, Video Recording, Poison control, Walking, Machine learning, computer.software_genre, Pattern Recognition, Automated, Crowds, Artificial Intelligence, Image Processing, Computer-Assisted, Cluster Analysis, Humans, Computer vision, Social Behavior, Cluster analysis, business.industry, Applied Mathematics, Hierarchical clustering, Crowding, Hausdorff distance, Computational Theory and Mathematics, Pairwise comparison, Computer Vision and Pattern Recognition, Artificial intelligence, business, computer, Algorithms, Software |
| الوصف: | Building upon state-of-the-art algorithms for pedestrian detection and multi-object tracking, and inspired by sociological models of human collective behavior, we automatically detect small groups of individuals who are traveling together. These groups are discovered by bottom-up hierarchical clustering using a generalized, symmetric Hausdorff distance defined with respect to pairwise proximity and velocity. We validate our results quantitatively and qualitatively on videos of real-world pedestrian scenes. Where human-coded ground truth is available, we find substantial statistical agreement between our results and the human-perceived small group structure of the crowd. Results from our automated crowd analysis also reveal interesting patterns governing the shape of pedestrian groups. These discoveries complement current research in crowd dynamics, and may provide insights to improve evacuation planning and real-time situation awareness during public disturbances. |
| تدمد: | 2160-9292 0162-8828 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb610a3db29f2846c0f444c9d1b51e67 https://doi.org/10.1109/tpami.2011.176 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi.dedup.....bb610a3db29f2846c0f444c9d1b51e67 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21609292 01628828 |
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