Simple Vehicle Detection with Shadow Removal at Intersection

Moving vehicle detection is an important part in intelligent transportation system applications. The purpose is to track each moving vehicle in the video frames. This paper analyzes the background generation and shadow removal methods in traditional background subtraction approach, and presents a simple algorithm to generate and update color background image based on statistical method at intersection. Our approach of shadow removal is based on both NCC (Normalized Cross-correlation) and frame difference. Experiments showed that this detection method can well detect vehicles at heavy traffic intersection.