Image Signal Processing Techniques for Hand-Eye-Foot Coordinated System

Abstract

In this paper, image signal processing technique is applied to a Hand-Eye-Foot Coordinated System. The considered system integrates IP Camera device, multi-joint robotic arm and wheeled mobile carrier is proposed to simulate the coordination of human hands, eyes and feet, and carry out the behaviour of taking objects in the air during the march. IP Camera performs image capture, cooperates with image processing software, and makes target recognition and target selection similar to the human eye. Multi-joint mechanical arm, simulate the human arm, the target object grab. Wheeled mobile mounts simulate the movement behaviour of human forwards, backs and turns. The rapid image processing and target identification technology related to the system are developed. 2D target tracking technology, including (1) Camera tracking target law and (2) platform tracking camera tracking law are proposed.