A low cost embedded real time 3D stereo matching system for surveillance applications

The implementation of low-cost 3D Stereo Vision systems requires stereo matching algorithms. Various efforts have been reported in the literature, however, these systems require substantial hardware resources. The contribution of the present work is on a low-cost real-time system, which was fully implemented on a small Xilinx FPGA. The system presented in this work extends previous results of the authors through design space exploration, architecture improvements and careful problem sizing.