Human Upper Body Pose Region Estimation

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dc.contributor.authorBilal, Sara
dc.contributor.authorAkmeliawati, Rini
dc.contributor.authorShafie, Amir A.
dc.contributor.authorSalami, Momoh-Jimoh E.
dc.date.accessioned2019-11-05T11:19:50Z
dc.date.available2019-11-05T11:19:50Z
dc.date.issued2013
dc.description.abstractThe objective of this chapter is to estimate 2D human pose for action recognition and especially for sign language recognition systems which require not only the hand motion trajectory to be classified but also facial features, Human Upper Body (HUB) and hand position with respect to other HUB parts. We propose an approach that progressively reduces the search space for body parts and can greatly improve chance to estimate the HUB pose. This involves two contributions: (a) a fast and robust search algorithm for HUB parts based on head size has been introduced for real time implementations. (b) Scaling the extracted parts during body orientation was attained using partial estimation of face size. The outcome of the system makes it applicable for real-time applications such as sign languages recognition systems. The method is fully automatic and self-initializing using a Haar-like face region. The tracking the HUB pose is based on the face detection algorithm. Our evaluation was done mainly using 50 images from INRIA Person Dataset.en_US
dc.identifier.citationBilal, S., Akmeliawati, R., Shafie, A. A., & Salami, M. J. (2013). Human Upper Body Pose Region Estimation. In Recent Advances in Robotics and Automation (pp. 335-344). Springer, Berlin, Heidelberg.en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-642-37387-9_26
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/627
dc.language.isoenen_US
dc.publisherSpringer, Berlin, Heidelbergen_US
dc.subjectHuman Upper Bodyen_US
dc.subjectPose Regionen_US
dc.subjectEstimationen_US
dc.titleHuman Upper Body Pose Region Estimationen_US
dc.typeArticleen_US
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