SURF based Object Tracking has been a well exploited one in the field of research. SURF is an effective key point localization algorithm for successful object detection and tracking. Our paper spotlights on the subject of development and implementation of target tracking in live video on Beagle Bone Black, an open source Linux based embedded platform with Open CV. Incorporating embedded platform with image processing algorithm leads to many real world applications. Two targets are considered in this work. Our experimental results illustrate that our proposed system implements a real time target tracking with sturdiness against variations in target elevation, rotation and also the distance between target and camera.

Keywords: Beagle Bone Black; Embedded Platform; Open CV; SURF; Target Tracking