乐胖代购免代理版

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Firstly, the authors suppose the body silhouette as an objective function and try to approximate it by a set of elliptical basis functions (EBFs). By using parameters of these learned EBF kernels, vertices and edges of a graph are created. Since this graph is highly matched with the real skeleton of the body silhouette and represents the posture, they name it body posture graph (BPG). Then a posture descriptor is constructed by sorting the BPG's vertices according to a position\u2010dependent ordering algorithm. Thus, the descriptor contains not only body limbs connectivity information but also the spatial information. Therefore the descriptor is very effective for body posture description and is accurate for behaviour recognition purposes. They use simple fully\u2010connected hidden Mrakov model to learn and classify the sequences of postures. Good performance of the proposed features was proved by results of various and numerous experiments which were implemented on three different datasets: Sinica Academia, KTH (Kungliga Tekniska H\u00f6gskolan) and UCF (University of Central Florida) Sports Action.<\/jats:p>","DOI":"10.1049\/iet-cvi.2012.0121","type":"journal-article","created":{"date-parts":[[2013,8,20]],"date-time":"2013-08-20T01:21:19Z","timestamp":1376961679000},"page":"488-499","source":"Crossref","is-referenced-by-count":7,"title":["Body posture graph: a new graph\u2010based posture descriptor for human behaviour recognition"],"prefix":"10.1049","volume":"7","author":[{"given":"Amir Farid","family":"Aminian Modarres","sequence":"first","affiliation":[{"name":"School of Computer Engineering Iran University of Science and Technology Tehran Iran"}]},{"given":"Mohsen","family":"Soryani","sequence":"additional","affiliation":[{"name":"School of Computer Engineering Iran University of Science and Technology Tehran Iran"}]}],"member":"265","published-online":{"date-parts":[[2013,12]]},"reference":[{"key":"e_1_2_7_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2010.10.002"},{"key":"e_1_2_7_3_2","doi-asserted-by":"publisher","DOI":"10.1098\/rspb.1978.0020"},{"key":"e_1_2_7_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/0262\u20108856(83)90003\u20103"},{"key":"e_1_2_7_5_2","doi-asserted-by":"publisher","DOI":"10.1006\/ciun.1994.1006"},{"key":"e_1_2_7_6_2","volume-title":"Technical report","author":"Ramanan D.","year":"2003"},{"key":"e_1_2_7_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.1996.557258"},{"key":"e_1_2_7_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1997.609450"},{"key":"e_1_2_7_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.790429"},{"key":"e_1_2_7_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1992.223161"},{"key":"e_1_2_7_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.910878"},{"key":"e_1_2_7_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.58"},{"key":"e_1_2_7_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.05.015"},{"issue":"10","key":"e_1_2_7_14_2","first-page":"1873","article-title":"Human action recognition: a novel application of the stochastic detector enriched by body\u2010parts information","volume":"8","author":"Ding J.","year":"2011","journal-title":"J. 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