Human detection based on weighted template matchingFaculty of Informatics - Papers (Archive)
AbstractThis paper proposes a new two-stage human detection method involving matching and verification. A Bayesian framework is developed to verify the matching score obtained from a weighted distance measure. Performance evaluation indicates that the proposed method is able to utilize the flexible matching scheme and produce superior true positive, true negative and low misclassification rates.
Citation InformationDuc Thanh Nguyen, Philip Ogunbona and Wanqing Li. "Human detection based on weighted template matching" (2009) p. 634 - 637
Available at: http://works.bepress.com/p_ogunbona/68/