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Crowd behavior classification based on generic descriptors


Wong, Pei Voon and Mustapha, Norwati and Affendey, Lilly Suriani and Khalid, Fatimah and Chen, Yen Lin (2019) Crowd behavior classification based on generic descriptors. In: 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2019), 3-6 Dec. 2019, Taipei, Taiwan. .


Crowd behavior analysis plays an important role in high security interests in public areas such as railway stations, shopping centres, and airports, where large populations gather. The crowded scenes vary in various densities, structures and occlusion. It brings enormous challenges in identifying generic descriptors to describe motion dynamics caused by pedestrians walk in different directions with extremely diverse behaviors. Therefore, this research is proposal an approach for crowd behavior analysis to recognize the common properties across different crowded scenes. The recognized common properties are then used to identify generic descriptors from group-level for crowd behavior classification.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/ISPACS48206.2019.8986333
Publisher: IEEE
Keywords: Crowd behavior classification; Generic descriptors; Crowded scenes; Group-level; Motion
Depositing User: Nabilah Mustapa
Date Deposited: 03 Jun 2020 06:30
Last Modified: 03 Jun 2020 06:30
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ISPACS48206.2019.8986333
URI: http://psasir.upm.edu.my/id/eprint/78086
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