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Recently, Viola proposed a rectangular features (RFs) based classifier with high accuracy and rapid processing speed for object detection tasks  . In this paper, we propose Non-Neighboring RFs ( NNRFs) as an extension of RFs, and a Particle Swarm Optimization (PSO) based feature selection algorithm for NNRFs. NNRFs are the pairs of arbitrary rectangular sub-regions in images, giving us huge number of candidate NNRFs for feature selection (e.g. 1.3 billion NNRFs in 19 × 19 pixel image). Wedoi:10.1109/icpr.2008.4761180 dblp:conf/icpr/HidakaK08 fatcat:ulh7ylzwdnd43mme6fxcyjqcuq