Automatic identification and real-time tracking based on multiple sensors for low-altitude moving targets
低空运动目标的多传感器自动识别和实时跟踪

This paper discussed a method for low altitude moving target detection and tracking in TV tracking system. In order to increase the ability of automatic tracking and anti-interferene, based on a variety of sensors and electronic measuring devices, such as acoustic sensors, image sensors and laser range finder,proposed a multi-sensor integrated automatic identification and real-time servo algorithm. Firstly located the target initially by the positive acoustic localization technology, secondly used the dynamic and static image features as well as the sound source characteristics of the target in target classification and recognition. According to video tracking and trajectory prediction algorithm, the desired target error signal control servo for precise tracking was used to control the servo mechanism to track precisely. Experiments show that the algorithm is simple and effective to achieve enough precision and reliability, and also validate the feasibility for multiple sensors being used in full-automatic intelligent tracking system.