An Efficient Algorithm for Recognition of Human Actions

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dc.contributor.authorKhan, Yaser Daanial
dc.contributor.authorKhan, Nabeel Sabir
dc.contributor.authorShoaib Farooq
dc.contributor.authorAdnan Abid
dc.contributor.authorKhan, Sher Afzal
dc.contributor.authorFarooq Ahmad
dc.contributor.authorKhalidMahmood, Muhammad
dc.date.accessioned2015-03-05T12:58:30Z
dc.date.available2015-03-05T12:58:30Z
dc.date.issued2014
dc.description.abstractRecognition of human actions is an emerging need. Various researchers have endeavored to provide a solution to this problem. Some of the current state-of-the-art solutions are either inaccurate or computationally intensive while others require human intervention. In this paper a sufficiently accurate while computationally inexpensive solution is provided for the same problem. Image moments which are translation, rotation, and scale invariant are computed for a frame. A dynamic neural network is used to identify the patterns within the stream of image moments and hence recognize actions. Experiments show that the proposed model performs better than other competitive models.en_US
dc.identifier.citation6. Daanial, K. Y., Khan, N. S., Farooq, S., Abid, Adnan Khan, Sher Afzal, Ahmad, Farooq, and Mahmood, M. K., (2014). An Efficient Algorithm for Recognition of Human Actions, Scientific World Journalen_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/1422
dc.language.isoenen_US
dc.publisherHindawi Publishing Corporationen_US
dc.titleAn Efficient Algorithm for Recognition of Human Actionsen_US
dc.typeArticleen_US
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