A Meanshift-based imbedded computer vision system design for real-time target tracking
Ken Chen, Songyin Fu, Kangkang Song, Chul Gyu Jhun · 2012
Visual tracking is among the newly burgeoning subjects along with advancement of computer vision systems, and embedded tracking system is a conjunction of hardware-embedded communications and control system, as well as software-embedded tracking system. In this paper, the Meanshift algorithm implementing visual tracking is introduced. The integral hardware design is based on the TE6410 development board as the platform, and on WinCE as the operating system. The software design involves coding for the embedded operating system and applying the multi-thread technology. Combined with a drive-module of servomotor, a video camera and a VGA display, the tracking test is conducted, showing that within the limited number of iterations, the Meanshift is capable of visual tracking in a real-time manner using the developed imbedded system.