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The 3-dimensional (3D) human motion animation is widely used in video game, movie, and so on. When making the animation, human transition motion is necessary. If there is a method that can generate the transition motion, the making time will cost less and the working efficiency will be improved. Thus a new method called latent space optimization based on projection analysis (LSOPA) is proposed to estimate the human transition motion. LSOPA is carried out under the assistance of Gaussian process dynamical models (GPDM); it builds the object function to optimize the data in the low dimensional (LD) space, and the optimized data in LD space will be obtained to generate the human transition motion. The LSOPA can make the GPDM learn the high dimensional (HD) data to estimate the needed transition motion. The excellent performance of LSOPA will be tested by the experiments.<\/jats:p>","DOI":"10.1155\/2019\/6816453","type":"journal-article","created":{"date-parts":[[2019,6,2]],"date-time":"2019-06-02T19:34:15Z","timestamp":1559504055000},"page":"1-9","source":"Crossref","is-referenced-by-count":0,"title":["Projection Analysis Optimization for Human Transition Motion Estimation"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8048-7538","authenticated-orcid":true,"given":"Wanyi","family":"Li","sequence":"first","affiliation":[{"name":"Department of Computer Science, Guangdong University of Education, Guangzhou, Guangdong 510303, China"}]},{"given":"Feifei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Guangdong University of Education, Guangzhou, Guangdong 510303, China"}]},{"given":"Qiang","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Guangdong University of Education, Guangzhou, Guangdong 510303, China"}]},{"given":"Qian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Guangdong University of Education, Guangzhou, Guangdong 510303, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2018.07.002"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2018.05.025"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.entcom.2014.08.007"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.04.017"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.47"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2605097"},{"issue":"4","key":"7","doi-asserted-by":"crossref","first-page":"901","DOI":"10.1109\/TPAMI.2018.2816031","volume":"41","year":"2019","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1167"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1126\/science.290.5500.2323"},{"key":"10","first-page":"1783","volume":"6","year":"2005","journal-title":"Journal of Machine Learning Research (JMLR)"},{"year":"2009","key":"11"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2196995"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1126\/science.290.5500.2319"},{"issue":"12","key":"14","first-page":"3060","volume":"45","year":"2017","journal-title":"Acta Electronica Sinica"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.12733\/jics20104707"},{"issue":"5","key":"17","first-page":"2127","volume":"10","year":"2014","journal-title":"Journal of Computational Information Systems"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1137\/s1052623497325107"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0273-6"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2014.07.007"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.01.007"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-008-0173-1"}],"container-title":["International Journal of Digital Multimedia Broadcasting"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijdmb\/2019\/6816453.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijdmb\/2019\/6816453.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijdmb\/2019\/6816453.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,2]],"date-time":"2019-06-02T19:34:23Z","timestamp":1559504063000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/ijdmb\/2019\/6816453\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,2]]},"references-count":21,"alternative-id":["6816453","6816453"],"URL":"https:\/\/doi.org\/10.1155\/2019\/6816453","relation":{},"ISSN":["1687-7578","1687-7586"],"issn-type":[{"type":"print","value":"1687-7578"},{"type":"electronic","value":"1687-7586"}],"subject":[],"published":{"date-parts":[[2019,6,2]]}}}