TRACKING VEHICLES IN URBAN SMART CITY BASED XILINX PLATFORM

摘要

Computer vision becomes one of the significant smart city applications due to the unbelievable growth in electronics, informatics, and communication fields. Since the smart city is directed by smart self-governing systems, A lot of algorithms have been released for achieving smart city requirements. These algorithms include methods for detecting text, faces, vehicles and moving objects. Then, by comparing their output with the ground-truth, the performance of these algorithms can be measured. This paper focusing on following (detect and track) the moving vehicles. Two different object detection algorithms have been tested, namely temporal difference algorithm and fixed background algorithm for a video of (120 x 160) pixels frame-size. The designed system was implemented based on FPGA board (Xilinx-ISE 14.6 XC3S700A), while the simulation was built by employing MATLAB. To stay away from the limitation of the FPGA board size, the Verilog code was invoked by utilizing the MATLAB platform.