A Real Time 1080P 30FPS GMM Based Background

• Main Authors: Hsu, Shuowen, 許碩文
• Other Authors: Chang, Tiansheuan
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/49042456975645897848

碩士 === 國立交通大學 === 電子研究所 === 101 === Real time background subtraction design with Gaussian Mixture Model (GMM) provides good performance but suffers from heavy computational complexity and memory bandwidth due to parameters updates per pixel per frame. To solve above issues while meet real time demand, this thesis proposed a VLSI hardware design with block based processing and parallel hardware. Original GMM operates on a whole frame, which demands high memory bandwidth. This bandwidth can be reduced by internal buffer but suffers large size. In this thesis, we propose to operate GMM on a block instead of whole frame to avoid whole frame buffer while reuse parameter data to save bandwidth. The corresponding result will be passed to neighboring blocks to keep our GMM result similar to that by the whole frame based GMM. The high computation cost is tackled by parallel processing for speedup by exploiting independent operations in GMM. The design is implemented on TSMC 90nm process, which supports 1080P at 30FPS. The gate counts is 553.5 K gates at 125MHz.