Dynamic approach for real-time skin detection

dc.contributor.authorBilal, Sara
dc.contributor.authorAkmeliawati, Rini
dc.contributor.authorSalami, Momoh-Jimoh E.
dc.contributor.authorShafie, Amir A.
dc.date.accessioned2019-08-14T10:47:31Z
dc.date.available2019-08-14T10:47:31Z
dc.date.issued2015-06-01
dc.description.abstractHuman face and hand detection, recognition and tracking are important research areas for many computer interaction applications. Face and hand are considered as human skin blobs, which fall in a compact region of colour spaces. Limitations arise from the fact that human skin has common properties and can be defined in various colour spaces after applying colour normalization. The model therefore, has to accept a wide range of colours, making it more susceptible to noise. We have addressed this problem and propose that the skin colour could be defined separately for every person. This is expected to reduce the errors. To detect human skin colour pixels and to decrease the number of false alarms, a prior face or hand detection model has been developed using Haar-like and AdaBoost technique. To decrease the cost of computational time, a fast search algorithm for skin detection is proposed. The level of performance reached in terms of detection accuracy and processing time allows this approach to be an adequate choice for real-time skin blob tracking.en_US
dc.identifier.citationBilal, S., Akmeliawati, R., Salami, M. J. E., & Shafie, A. A. (2015). Dynamic approach for real-time skin detection. Journal of Real-Time Image Processing, 10(2), 371-385.en_US
dc.identifier.uri10.1007/s11554-012-0305-2
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/454
dc.language.isoenen_US
dc.publisherSpringer Berlin Heidelbergen_US
dc.subjectSkin detectionen_US
dc.subjectColour spaceen_US
dc.subjectHaar-like Face detectionen_US
dc.subjectHand detectionen_US
dc.titleDynamic approach for real-time skin detectionen_US
dc.typeArticleen_US
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