A Research Into The Real-Time Imaging Tracking System

A real-time imaging tracking system overcomes the shortcomings of the ladar system which needs high cost, is easily disturbed by electromagnetic wave and can't be visualized. Compared with the infrared, it is superior in the aspect of tracking cold-target. The system has been applied in the field of weapons, shipping navigation, industry monitor and traffic control because of its low cost and superior visibility. It is becoming a hot point of imaging tracking in the world because it has very great economy benefit, outstanding practical significance and extensive possibility ofapplication.In the paper, based on the study of a moving aircraft, some advanced technologies of imaging tracking in recent years are studied. A high efficient and real -time method of imaging tracking is deduced. Further more, the specific design and implementation method is proposed. A series of algorithms about image segmentation, tracking and prediction are adopted and modified in the key parts of the system. These algorithms are simulated and tested. The application of genetic algorithm and maximum entrophy principle to image segmentation shows many attractive advantages such as high accuracy, small calculation amount and excellent real-time property. The dual-mode image tracking and prediction enhances efficiency and accuracy. The hardware and software of the system which are presented in this paper have passed test in lab and outdoors, the experimental results show that the system has characteristics, including automatic recognition of the target; permitting tracking and prediction when the target become shaded; the system allows adaptive decision target variation during the process of tracking. The results prove that the system is effective and can be implemented in real time.