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October 3, 2025Open Access

UAV-Based Intelligent Traffic Surveillance System: Real-Time Vehicle Detection, Classification, Tracking, and Behavioral Analysis

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Authors

AKAli KhanpourTWTianyi WangQingdao Agricultural UniversityAVAfra Vahidi-ShamsIslamic Azad University, Tehran

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Implication

Advanced system demonstrates 91.8% detection precision in urban environments, highlighting vehicle classification and behavioral analysis.

Key Points

  • The system achieves a vehicle detection precision of 91.8% in real-world urban conditions, and it classifies five vehicle types.
  • Robust performance features include an F1-score of 90.5% and tracking metrics of 92.1% for multiple vehicles in motion.
  • Utilizing advanced algorithms like Kalman filtering and multi-angle template matching, the system processes aerial video data effectively.
  • Highlights potential for smart cities as an enforcement-aware, infrastructure-independent traffic monitoring solution.

Cite This Study

Khanpour et al. (2025) studied this question.

synapsesocial.com/papers/68e02f40f0e39f13e7fa2ab2https://doi.org/10.48550/arxiv.2509.04624
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A unified deep learning-driven UAV vehicle detection using robust feature extraction for intelligent traffic monitoring system2026 · 1 citations
  2. 2Automatic Traffic Safety Analysis using Unmanned Aerial Vehicle Technology at Unsignalized Intersections in Heterogeneous Traffic2024 · 9 citations
  3. 3Real-Time Vehicle Detection and Urban Traffic Behavior Analysis Based on UAV Traffic Videos on Mobile Devices2024 · 2 citations
  4. 4Smart Traffic Monitoring through Drone Images via Yolov5 and Kalman Filter2024 · 49 citations
  5. 5Above the roads: Unleashing unmanned aerial vehicles and image processing for traffic analysis2024 · 1 citations