Multi-Camera Tracking Algorithm for Flying Objects Using Time-Correlation Features

Abstract

Stereo analysis using multiple cameras is useful for 3D motion analysis of flying objects in the sky. In such stereo analysis, it is necessary to correspond objects detected in different cameras, but it becomes difficult when objects have similar appearances. Motion of flying objects such as wing flapping don’t match perfectly with those of the other flying objects, and it is possible to correspond objects detected in different camera view by checking the sychronicity of their motion. In this study, we propose an algorithm for flying objects that can correspond multiple objects using normalized cross-correlation by extracting motion features of objects in different cameras.