关键词: 多特征联合, 随机森林算法, 目标检测

Abstract: The popularity of low cost and small UAVs brings a series of serious problems and is difficult to supervise. Moreover, due to the disturbance of environmental objects, camera’s jitter and sampling noise, the existing method can detect small targets such as UAVs in low accuracy under visible light. In order to solve the above problems, a UAVs detect method is proposed by random forest. This method collects the image sequences under visible light, and detects small moving targets in the image by using gaussian?mixture?model and clustering detection algorithm. Then, the targetis discriminated to fuse target multi features by using random forest algorithm, and finally the detection target is obtained. The experimental results show that this method can detect small target of unmanned aerial vehicle and improve the accuracy of detection.

Key words: multi features, random forest algorithm, target detection