Smart Crowd Management and RFID-Assisted Tracking System Using YOLOv8 and DeepSORT

Paithane, Pradip; Shaikh, Alisha Shikandar; Kharat, Anushka Suresh; Ramesh, Jadhav Rutuja; Bade, Priyanka Ramesh

doi:https://doi.org/10.55041/ijcope.v2i6.229

Volume 02, Issue 6

Published on: June 2026

SMART CROWD MANAGEMENT AND RFID-ASSISTED TRACKING SYSTEM USING YOLOV8 AND DEEPSORT

Pradip Paithane Alisha Shikandar Shaikh Anushka Suresh Kharat Jadhav Rutuja Ramesh Priyanka Ramesh Bade

Department of Information Technology Baramati, India

DOI:https://doi.org/10.55041/ijcope.v2i6.229

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Abstract

Crowd surveillance is an essential part of crowd safety and management, especially in large gatherings where manual surveillance becomes ineffective. This paper aims to provide a thorough review of the existing literature on crowd detection and tracking systems, with a main emphasis on deep learning-based solutions. In this review, special attention is given to the You Only Look Once (YOLO) family of object detection models, especially YOLOv8, and their combination with multi-object tracking algorithms like DeepSORT. The review examines how recent advances in anchor-free detection, decoupled head models, and appearance-tracking methods have enhanced real-time performance in complex crowd settings. The literature has also identified some of the key challenges in crowd surveillance as extreme occlusion, lighting changes, identity switches, and poor cross-dataset generalization. Finally, this paper highlights some of the open research areas in crowd surveillance, including multimodal data fusion, multi-camera tracking, and adaptive AI models, which are necessary for developing efficient intelligent crowd surveillance systems.

Index Terms—YOLOv8, DeepSORT, crowd detection, real-time surveillance, abnormal behavior detection, dense crowds, object tracking, computer vision, deep learning

How to Cite this Paper

Paithane, P., Shaikh, A. S., Kharat, A. S., Ramesh, J. R. & Bade, P. R. (2026). Smart Crowd Management and RFID-Assisted Tracking System Using YOLOv8 and DeepSORT. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i6.229

Paithane, Pradip, et al.. "Smart Crowd Management and RFID-Assisted Tracking System Using YOLOv8 and DeepSORT." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i6.229.

Paithane, Pradip,Alisha Shaikh,Anushka Kharat,Jadhav Ramesh, and Priyanka Bade. "Smart Crowd Management and RFID-Assisted Tracking System Using YOLOv8 and DeepSORT." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i6.229.

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References

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•Published on: Jun 17 2026

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