A compact compound-eye model is designed to track fast-moving object s and detect their three-dimensional(3D) coordinates,which is combined with a camera with dynamic regions of interest (R OI).The structure of this system and the design principles are presented,and a strategy for tracking and detecting,which is suit able for compound-eye system,is proposed.Kalman filters are employed to parallelly generate multiple regions of interest on the imaging sensor,thus resolving the conflicts among wide field of vision,high resolution and real time characteristic and realizing high-speed tracking at a low cost.The 7ommatidia of the compound-eye lens are calibrated using Tsai two-step method,and a normalized multi-view detecting model is established to obtain the 3D information of fast-moving objects.This system is used to track an obje ct with uniform circular motion at a speed of 10r/s at a frame rate of 3000f/s,and obtai n the 3D trajectory of the object at a distance of 150mm.Preliminary experimental results show that the compound-eye system can effectively track a nd roughly locate high-speed objects in real time. Factors affecting the detecting precision are analyzed,and effective measures t o improve the accuracy are discussed,which might lay the foundation for the future design of panoramic high-speed 3D-tracking compo und-eye system.