Research on Vehicle Traffic Counting Using Area-Based Method

This paper focuses on studying area-based methods for vehicle traffic counting. The research algorithm development involves fundamental image processing techniques for vehicle detection including grayscale conversion, filtering, image enhancement, and sharpening, with comparative analysis of their algorithmic implementations. The study further employs image segmentation technologies such as threshold segmentation, edge detection, and morphological operations, along with vehicle detection and extraction algorithms. Finally, a real-time and reliable counting algorithm is designed.