Hardware accelerator design for tracking in smart camera
Sanjay Kr. Singh, Srinivasa Murali Dunga, Ravi Saini, Ankita Mandal, Chandra Shekhar, Anil Vohra · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
Smart Cameras are important components in video analysis. For video analysis, smart cameras needs to detect interesting moving objects, track such objects from frame to frame, and perform analysis of object track in real time. Therefore, the use of real-time tracking is prominent in smart cameras. The software implementation of tracking algorithm on a general purpose processor (like PowerPC) could achieve low frame rate far from real-time requirements. This paper presents the SIMD approach based hardware accelerator designed for real-time tracking of objects in a scene. The system is designed and simulated using VHDL and implemented on Xilinx XUP Virtex-IIPro FPGA. Resulted frame rate is 30 frames per second for 250x200 resolution video in gray scale.