To solve the disadvantages that a traditional camera cannot track moving objects in panoramic range

this paper presents an idea about bionic compound eye panoramic detection and a related tracking strategy. On the hardware side

we use multiple sub-eye cameras to detect the whole field of view in real-time

while the center of sub-eye cameras is a large-aperture dominant eye cameras which is installed on the pan tilt and located precisely by a pan tilt controller that receives different codes. On the software side

we present an idea about automatic windowing collection. Multiple layers of windows are collected from the image of the movement area

while non-sport areas have fewer layers windows. Then

we use the method of the Gaussian model to detect the moving object. The detection method is using lateral inhibition in the overlap area to obtain the clear moving object silhouette. In accordance with the above ideas on the hardware and software sides

we build the actual experimental device

and do experiments repeatedly. Compared to the traditional camera's tracking performance

this camera has some characteristics are that the real-time detection and the combination of the windowing acquisition and lateral inhibition

so we obtain a greatly improvement in the field of view and sensitivity.