DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, HC | - |
dc.contributor.author | Oh, SY | - |
dc.date.accessioned | 2016-03-31T08:45:47Z | - |
dc.date.available | 2016-03-31T08:45:47Z | - |
dc.date.created | 2013-03-06 | - |
dc.date.issued | 2012-08 | - |
dc.identifier.issn | 0031-3203 | - |
dc.identifier.other | 2012-OAK-0000026649 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/15994 | - |
dc.description.abstract | Tracking based on gradient descent algorithm using image gradient is one of the popular object tracking method. However, it easily fails to track when illumination changes. Although several illumination invariant features have been proposed, applying the invariant feature to the gradient descent method is not easy because the invariant feature is represented as a non-linear function of image pixel values and its Jacobian cannot be calculated in a closed-form. To make it possible, we introduce the generalized hyperplane approximation technique and apply it to histogram of oriented gradient (HOG) feature, one of the well-known illumination invariant feature. In addition, we achieve partial occlusion invariance using image segments. The hyperplanes are calculated from training segment images obtained by perturbing the motion parameter around the target region. Then, it is used to map the difference in non-linear feature of image onto the increment of alignment parameters. This process is mathematically same to the gradient descent method. The information from each segment is integrated by a simple weighted linear combination with confidence weights of segments. Compared to the previous tracking algorithms, our method shows very fast and stable tracking results in experiments on several practical image sequences. (C) 2012 Elsevier Ltd. All rights reserved. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.relation.isPartOf | PATTERN RECOGNITION | - |
dc.subject | Object tracking | - |
dc.subject | Generalized hyperplane approximation | - |
dc.subject | Histogram of oriented gradient | - |
dc.subject | Partial occlusion | - |
dc.subject | Illumination invariance | - |
dc.subject | FEATURES | - |
dc.subject | MODELS | - |
dc.title | Robust segment-based object tracking using generalized hyperplane approximation | - |
dc.type | Article | - |
dc.contributor.college | 창의IT융합공학과 | - |
dc.identifier.doi | 10.1016/J.PATCOG.2012.02.008 | - |
dc.author.google | Choi, HC | - |
dc.author.google | Oh, SY | - |
dc.relation.volume | 45 | - |
dc.relation.issue | 8 | - |
dc.relation.startpage | 2980 | - |
dc.relation.lastpage | 2991 | - |
dc.contributor.id | 10071831 | - |
dc.relation.journal | PATTERN RECOGNITION | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | PATTERN RECOGNITION, v.45, no.8, pp.2980 - 2991 | - |
dc.identifier.wosid | 000303294500010 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 2991 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | 2980 | - |
dc.citation.title | PATTERN RECOGNITION | - |
dc.citation.volume | 45 | - |
dc.contributor.affiliatedAuthor | Oh, SY | - |
dc.identifier.scopusid | 2-s2.0-84859427679 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 6 | - |
dc.description.scptc | 7 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Object tracking | - |
dc.subject.keywordAuthor | Generalized hyperplane approximation | - |
dc.subject.keywordAuthor | Histogram of oriented gradient | - |
dc.subject.keywordAuthor | Partial occlusion | - |
dc.subject.keywordAuthor | Illumination invariance | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
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