Abstract
This paper presents a method for automatic detection of taxi drivers beard behavior. First, Haar-Adaboost algorithm is used to locate the special window area of taxi. Secondly, the image is preprocessed by multi-scale retina enhancement algorithm on image value channel, then face feature points and chin area are extracted from the window area, and the beard pixel is segmented by skin tone and gray threshold method. Finally, The method was tested by real traffic surveillance video and the validity was proved.
Author supplied keywords
Cite
CITATION STYLE
Wang, Z., Huang, X., Jia, K., Liu, P., & Sun, Z. (2018). The detection of beard behavior of taxi drivers based on traffic surveillance video. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10996 LNCS, pp. 653–661). Springer Verlag. https://doi.org/10.1007/978-3-319-97909-0_69
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
