{"id":9240,"date":"2026-07-18T16:06:41","date_gmt":"2026-07-18T08:06:41","guid":{"rendered":"\/jase\/?post_type=tkuisotope&p=9240"},"modified":"2026-07-18T17:28:50","modified_gmt":"2026-07-18T09:28:50","slug":"jase-202610-33-044","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=jase-202610-33-044","title":{"rendered":"Real-time Detection of Abnormal Pedestrian Behavior in Scenic Areas Using Hybrid Gaussian Models and Regional Feature Analysis"},"content":{"rendered":"\n
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<\/i> 2026<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 33<\/a><\/p>\n<\/div>\n\n\n\n

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Ping Xu1<\/sup> and Aziguli Abudouwaili2<\/sup><\/i><\/a><\/p>\n\n\n\n

1<\/sup>Shanxi Vocational University of Culture and Tourism<\/p>\n\n\n\n

2<\/sup>Moray (Beijing) Data Technology Co., Ltd.<\/p>\n<\/div>\n\n\n\n

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Received: March 14, 2026
Accepted: April 29, 2026
Publication Date: July 18, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

\"\u4e0a\u50b3\u5716\u7247\"\n\n\n

Results of a partial experiment <\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/i> Copyright <\/strong>The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n

Download Citation:\u00a0 BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.202610_33.044<\/a>\u00a0\u00a0<\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

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The rapid development of the tourism industry has made the need for managing tourists\u2019 behaviors in scenic spots more urgent. The irregularities of the tourists, such as unauthorized climbing, writing graffiti, and entering the forbidden regions, can cause security hazards and negatively impact the reputation of the location. In this paper, a novel framework is introduced for recognizing abnormal behaviors of pedestrians in the region of interest using the characteristics extracted from surveillance videos. To achieve a robust background subtraction, a mixture of Gaussians is applied, and then the bounding boxes of motion objects are computed using minimum bounding rectangles. To recognize periodic changes in aspect ratios, curve fitting is employed to find abnormal behaviors.<\/p>\n\n\n\n

Keywords: Abnormal behavior detection; video surveillance; hybrid Gaussian model; regional features; real-time monitoring.<\/em><\/p>\n\n\n\n

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  1. [1] J. M. Korn, F. G. Kuruvilla, S. A. McCarroll, A. Wysoker, J. Nemesh, S. Cawley, and D. Altshuler, (2008) \u201cIntegrated genotype calling and association analysis of SNPs, common copy number polymorphisms and rare CNVs\u201d Nature Genetics 40(10): 1253\u20131260. DOI: 10.1038\/ng.237.<\/li>\n
  2. [2] L. M. M. Visuwasam and D. P. Raj, (2023) \u201cSpatio Temporal Tourism Tracking System Based on Adaptive Convolutional Neural Network\u201d Computer Systems Science & Engineering 45(3): 2435\u20132446. DOI: 10.32604\/csse.2023.024742.<\/li>\n
  3. [3] E. Zhao, P. Du, E. Y. Azaglo, S. Wang, and S. Sun, (2023) \u201cForecasting daily tourism volume: A hybrid approach with CEMMDAN and multi-kernel adaptive ensemble\u201d Current Issues in Tourism 26(7): 1112\u20131131. DOI: 10.1080\/13683500.2022.2048806.<\/li>\n
  4. [4] W. Chen, W. Wang, H. Yin, L. Zhao, and X. Zhou, (2023) \u201cHFUL: A hybrid framework for user account linkage across location-aware social networks\u201d The VLDB Journal 32(1): 1\u201322. DOI: 10.1007\/s00778-022-00730-8.<\/li>\n
  5. [5] G. Bharathi and G. Anandharaj, (2023) \u201cClassification of review information based on tourist\u2019s places of interest in India using support vector machine\u201d International Journal of Business Information Systems 44(2): 202\u2013218. DOI: 10.1504\/IJBIS.2023.134951.<\/li>\n
  6. [6] S. Wang, Y. Yu, J. Chen, and J. Liu, (2023) \u201cImpact of climate change on cherry blossom viewing tourism: Analysis and simulation based on Weibo proxy data\u201d Current Issues in Tourism 26(5): 718\u2013734. DOI: 10.1080\/13683500.2022.2049711.<\/li>\n
  7. [7] I. Afyouni, Z. Al Aghbari, and R. Razack, (2022) \u201cMulti-feature, multi-modal, and multi-source social event detection: A comprehensive survey\u201d Information Fusion 79: 279\u2013308. DOI: 10.1016\/j.inffus.2021.10.013.<\/li>\n
  8. [8] W. Yu, (2021) \u201cResearch on feature extraction of vehicle abnormal driving behaviour based on 5G internet of vehicles\u201d International Journal of Vehicle Design 86(1\u20134): 124\u2013142. DOI: 10.1504\/IJVD.2021.122256.<\/li>\n
  9. [9] J. Ali, R. H. Jhaveri, M. Alswailim, and B.-H. Roh, (2023) \u201cESCALB: An effective slave controller allocation-based load balancing scheme for multi-domain SDN-enabled-IoT networks\u201d Journal of King Saud University – Computer and Information Sciences 35(6): 101566. DOI: 10.1016\/j.jksuci.2023.101566.<\/li>\n
  10. [10] F. Gholami, Z. Rahmati, A. Mofidi, and M. Abbaszadeh, (2023) \u201cOn enhancement of text classification and analysis of text emotions using graph machine learning and ensemble learning methods on non-English datasets\u201d Algorithms 16(10): 470. DOI: 10.3390\/a16100470.<\/li>\n
  11. [11] M. Qaraqe, A. Elzein, E. Basaran, Y. Yang, E. B. Varghese, W. Costandi, and N. Alam, (2024) \u201cPublicVision: A secure smart surveillance system for crowd behavior recognition\u201d IEEE Access 12: 26474\u201326491. DOI: 10.1109\/ACCESS.2024.3366693.<\/li>\n
  12. [12] I. Nosheen, A. Naseer, and A. Jalal. \u201cEfficient vehicle detection and tracking using blob detection and kernelized filter\u201d. In: Proceedings of the 5th International Conference on Advancements in Computational Sciences (ICACS). IEEE, 2024, 1\u20138. DOI: 10.1109\/ICACS60934.2024.10473292.<\/li>\n
  13. [13] H. Yang, Q. He, L. Cui, and A. M. Mohamed Taha, (2023) \u201cExploring the spatial relationship between urban vitality and urban carbon emissions\u201d Remote Sensing 15(8): 2173. DOI: 10.3390\/rs15082173.<\/li>\n
  14. [14] A. Zahid, T. Qasim, N. Bhatti, and M. Zia, (2024) \u201cA data-driven approach for road accident detection in surveillance videos\u201d Multimedia Tools and Applications 83(6): 17217\u201317231. DOI: 10.1007\/s11042-023-16193-0.<\/li>\n
  15. [15] F. Yao, (2025) \u201cClassroom anomalous behavior detection based on improved YOLOv5\u201d Journal of Applied Science and Engineering 28(7): 1473\u20131481. DOI: 10.1080\/0000000.<\/li>\n
  16. [16] X. Liu, (2024) \u201cDetection of abnormal tourist behavior in scenic spots based on optimized Gaussian model for background modeling\u201d Journal of Intelligent Systems 33(1): 20240092. DOI: 10.1515\/jisys-2024-0092.<\/li>\n
  17. [17] G. Saravanan, G. Yamuna, and S. Nandhini. \u201cReal time implementation of RGB to HSV\/HSI\/HSL and its reverse color space models\u201d. In: Proceedings of the International Conference on Communication and Signal Processing (ICCSP). IEEE, 2016, 462\u2013466. DOI: 10.1109\/ICCSP.2016.7754179.<\/li>\n<\/ol>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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