A novel template matching method for human detectionFaculty of Informatics - Papers (Archive)
AbstractThis paper proposes a novel weighted template matching method. It employs a generalized distance transform (GDT) and an orientation map (OM). The GDT allows us to weight the distance transform more on the strong edge points and the OM provides supplementary local orientation information for matching. Based on the matching method, a two-stage human detection method consisting of template matching and Bayesian verification is developed. Experimental results have shown that the proposed method can effectively reduce the false positive and false negative detection rates and perform superiorly in comparison to the conventional Chamfer matching method.
Citation InformationDuc Thanh Nguyen, Wanqing Li and Philip Ogunbona. "A novel template matching method for human detection" (2009) p. 2549 - 2552
Available at: http://works.bepress.com/p_ogunbona/46/