Vision-Based Person Detection for Safe Navigation of Commercial Vehicle

Vision-Based solution of safe navigation for commercial vehicles with fish-eye camera is presented in this paper. This work aims to develop a system which is able to detect persons or objects around commercial vehicles for preventing any accidents. This is achieved by integrating classifier-based window searching algorithm and ego-motion-based algorithm into the system. The classifier is trained using cascaded support vector machine and ego-motion is estimated only based on captured images from camera. Test results show that designed system provides high detection rate when it is applied in commercial vehicle.