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- Publisher Website: 10.1016/j.patrec.2010.06.016
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Article: Mixed-state causal modeling for statistical KL-based motion texture tracking
Title | Mixed-state causal modeling for statistical KL-based motion texture tracking |
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Authors | |
Keywords | Kullback-Leibler divergence Mixed-state Markov models Motion textures Visual tracking |
Issue Date | 2010 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/patrec |
Citation | Pattern Recognition Letters, 2010, v. 31 n. 14, p. 2286-2294 How to Cite? |
Abstract | We are interested in the modeling and tracking of dynamic or motion textures, which refer to dynamic contents that can be classified as a texture with motion (fire, smoke, crowd of people). Experimentally we observe that they depict motion maps with values of a mixed type: a discrete value at zero (absence of motion) and continuous non-null motion values. We thus introduce a temporal mixed-state Markov model for the characterization of motion textures from which a set of 13 parameters is extracted as the descriptive feature of the dynamic content. Then, a motion texture tracking strategy is proposed using the conditional Kullback-Leibler (KL) divergence between mixed-state probability densities, which allows us to estimate the position using a statistical matching approach. © 2010 Elsevier B.V. All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/132602 |
ISSN | 2023 Impact Factor: 3.9 2023 SCImago Journal Rankings: 1.400 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Crivelli, T | en_HK |
dc.contributor.author | CernuschiFrias, B | en_HK |
dc.contributor.author | Bouthemy, P | en_HK |
dc.contributor.author | Yao, JF | en_HK |
dc.date.accessioned | 2011-03-28T09:26:56Z | - |
dc.date.available | 2011-03-28T09:26:56Z | - |
dc.date.issued | 2010 | en_HK |
dc.identifier.citation | Pattern Recognition Letters, 2010, v. 31 n. 14, p. 2286-2294 | en_HK |
dc.identifier.issn | 0167-8655 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/132602 | - |
dc.description.abstract | We are interested in the modeling and tracking of dynamic or motion textures, which refer to dynamic contents that can be classified as a texture with motion (fire, smoke, crowd of people). Experimentally we observe that they depict motion maps with values of a mixed type: a discrete value at zero (absence of motion) and continuous non-null motion values. We thus introduce a temporal mixed-state Markov model for the characterization of motion textures from which a set of 13 parameters is extracted as the descriptive feature of the dynamic content. Then, a motion texture tracking strategy is proposed using the conditional Kullback-Leibler (KL) divergence between mixed-state probability densities, which allows us to estimate the position using a statistical matching approach. © 2010 Elsevier B.V. All rights reserved. | en_HK |
dc.language | eng | en_US |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/patrec | en_HK |
dc.relation.ispartof | Pattern Recognition Letters | en_HK |
dc.subject | Kullback-Leibler divergence | en_HK |
dc.subject | Mixed-state Markov models | en_HK |
dc.subject | Motion textures | en_HK |
dc.subject | Visual tracking | en_HK |
dc.title | Mixed-state causal modeling for statistical KL-based motion texture tracking | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Yao, JF: jeffyao@hku.hk | en_HK |
dc.identifier.authority | Yao, JF=rp01473 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1016/j.patrec.2010.06.016 | en_HK |
dc.identifier.scopus | eid_2-s2.0-77957925185 | en_HK |
dc.identifier.hkuros | 194269 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-77957925185&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 31 | en_HK |
dc.identifier.issue | 14 | en_HK |
dc.identifier.spage | 2286 | en_HK |
dc.identifier.epage | 2294 | en_HK |
dc.identifier.isi | WOS:000282384500023 | - |
dc.publisher.place | Netherlands | en_HK |
dc.identifier.scopusauthorid | Crivelli, T=25824832900 | en_HK |
dc.identifier.scopusauthorid | CernuschiFrias, B=7003558300 | en_HK |
dc.identifier.scopusauthorid | Bouthemy, P=7005146506 | en_HK |
dc.identifier.scopusauthorid | Yao, JF=7403503451 | en_HK |
dc.identifier.citeulike | 7593441 | - |
dc.identifier.issnl | 0167-8655 | - |