YOLOv8-based Pedestrian Detection for Malaysian Urban Traffic Surveillance: A Case Study at Bukit Bintang MRT
The importance of pedestrian detection for intelligent transportation systems and city surveillance lies in the need for precise pedestrian identification to ensure road safety and optimize traffic efficiency. In this paper, deep learning techniques are investigated for detecting pedestrians in real-time video streams...