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Human detection based on weighted template matching

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conference contribution
posted on 2024-11-14, 10:30 authored by Duc Thanh Nguyen, Philip OgunbonaPhilip Ogunbona, Wanqing LiWanqing Li
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.

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Citation

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.

Parent title

Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009

Pagination

634-637

Language

English

RIS ID

32110

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