A crowd video retrieval framework using generic descriptors

Citation

Wong, Pei Voon and Mustapha, Norwati and Affendey, Lilly Suriani and Khalid, Fatimah (2020) A crowd video retrieval framework using generic descriptors. Journal of Computers, 31 (1). 34 - 45. ISSN 1796-203X

Abstract

In the era of data mining and analytics, retrieval of crowd video with desired motion pattern segmentation plays a significant role in surveillance video management. The retrieval of crowd video with desired motion pattern segmentation poses challenges in finding generic descriptors to describe crowd patterns and similarity matching. This paper presents a novel crowd video retrieval framework using generic descriptors to overcome the above challenges. The anticipated structure comprises of four core components, namely motion feature extraction, group detection, learning generic descriptors, and crowd video retrieval. Results obtained indicate that the proposed framework can improve performance of crowd video retrieval compared with the existing crowd motions on CUHK Crowd Dataset.

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Additional Metadata

Item Type:	Article
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.3966/199115992020023101003
Publisher:	Academy Publisher
Keywords:	Crowd motion; Crowd scenes; Crowd video retrieval; Generic descriptor; Motion pattern segmentation
Depositing User:	Ms. Nuraida Ibrahim
Date Deposited:	06 Jul 2022 07:49
Last Modified:	06 Jul 2022 07:49
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3966/199115992020023101003
URI:	http://psasir.upm.edu.my/id/eprint/87590
Statistic Details:	View Download Statistic

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