关键词: 空间PACT, 场景语义, 颜色特征, 潜在阶梯边缘模板

Abstract: Spatial Principal component Analysis of Census Transform histograms（PACT） is a new representation for recognizing instances and categories of scenes.A spatial pyramid of PACT achieves higher accuracies than the current state-of-the-art methods in several place and scene.For the strength and efficiency of scene semantic recognition，a new scene semantic recognition method based on spatial PACT and color feature is proposed.By means of importing potential step edge template into spatial PACT，the efficiency of algorithm is improved greatly while the accuracy almost is not affected.At same time，by combining color feature，more powerful semantic representation is obtained.Experimental results show that the algorithm has high computational efficiency，high recognition rate and powerful semantic recognition.

Key words: spatial Principal component Analysis of Census Transform histograms（PACT）, scene semantic, color feature, potential step edge template