FPGA-SoC Based Object Tracking Algorithms: A Literature Review

Systems for object detection and tracking are becoming increasingly important in practical applications today. Many research development groups interested improving the performance of such systems, numerous methods have been developed proposed. Additionally, computer vision is constantly developing implemented on reconfigurable embedded systems. The purpose this study to present past recent works field visual systems that used FPGA FPGA-SoC platforms. includes a brief description several popular algorithms related main characteristics which preferred. Resource utilization was also considered most least resources implement different algorithms. found flip-flops (FF) lookup tables (LUT) usually used, while BRAM, DSP, multipliers had lowest percentage utilization. Due production advanced processing there an increase focusing employing platforms surveillance reason behind their ability complex using both hardware software co-design gain high less design time compared with only FPGA-based