The multi vehicle recognition using hybrid blob analysis and feature-based

This paper presents an approach method to detect vehicle color and to classify multi vehicle from video data. The multi vehicle is classified by blob analysis and feature-based. The proposed method uses a video file recorded by traffic surveillance camera as input. This technique applied RGB (Red, Green and Blue) to detect color of vehicle image. The vehicle is separated from background by using optical flow. Blob analysis and feature-based are performed the type of vehicles. Feature-based is extracted by localized color clusters. This method can classify vehicle images into 3 types of car, pickup, and truck. The K-Nearest Neighbor algorithm is used to detect color possible. The proposed vehicle recognition method can be applied to spot target vehicles which match the suspect car input (type and color) and provide real-time and traffic surveillance information.