Citation :

Palakkumar B. Bhatt, Dipesh Kamdar, "Wrong Side Vehicle Detection and Illegal Parking Detection using the Centroid Method and YOLOv8," International Journal of Electronics and Communication Engineering, vol. 13, no. 6, pp. 1-11, 2026. Crossref, https://doi.org/10.14445/23488549/IJECE-V13I6P101

Abstract

Traffic violations such as illegal parking and wrong-side vehicle driving significantly contribute to traffic congestion and road accidents in urban environments. According to recent reports, India records nearly five lakh road accidents annually, resulting in approximately 1.8 lakh fatalities. Continuous monitoring of traffic using conventional manual surveillance is inefficient and requires automated intelligent systems. This paper proposes a computer vision-based framework for detecting illegal parking and wrong-side vehicle movement using traffic surveillance videos. The proposed system integrates deep learning-based vehicle detection with motion analysis and centroid-based tracking to identify traffic violations in real time. Initially, a Region of Interest (ROI) and a reference direction line are defined during scene initialization. Vehicles are detected in each frame using the YOLOv8 object detection model, and centroid positions of detected bounding boxes are calculated for tracking vehicle movement across frames. Displacement analysis of centroid positions is used to determine vehicle motion and direction. Wrong-side driving is detected by evaluating vehicle movement against the predefined traffic direction, while illegal parking is identified using ROI-based spatial validation combined with temporal duration analysis. The proposed system was evaluated using CCTV traffic videos from different locations in Ahmedabad. Experimental results show that the system successfully detected illegal parking with 90% accuracy and wrong-side driving with 83.33% accuracy. The results demonstrate the effectiveness of the proposed approach for automated traffic violation monitoring in real-world surveillance environments.

Keywords

Traffic violation detection, Illegal parking detection, Wrong-side vehicle detection, YOLOv8, Traffic surveillance.

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