RIS ID
32110
Abstract
This 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.
Publication Details
Nguyen, D., Ogunbona, P. & Li, W. (2009). Human detection based on weighted template matching. IEEE International Conference on Multimedia and Expo (pp. 634-637). USA: IEEE.