Ontology type: schema:ScholarlyArticle Open Access: True
2018-04
AUTHORSXuan Son Nguyen, Thanh Phuong Nguyen, François Charpillet, Ngoc-Son Vu
ABSTRACTThis paper proposes a new local descriptor for action recognition in depth images using second-order directional Local Derivative Patterns (LDPs). LDP relies on local derivative direction variations to capture local patterns contained in an image region. Our proposed local descriptor combines different directional LDPs computed from three depth maps obtained by representing depth sequences in three orthogonal views and is able to jointly encode the shape and motion cues. Moreover, we suggest the use of Sparse Coding-based Fisher Vector (SCFVC) for encoding local descriptors into a global representation of depth sequences. SCFVC has been proven effective for object recognition but has not gained much attention for action recognition. We perform action recognition using Extreme Learning Machine (ELM). Experimental results on three public benchmark datasets show the effectiveness of the proposed approach. More... »
PAGES8531-8549
http://scigraph.springernature.com/pub.10.1007/s11042-017-4749-z
DOIhttp://dx.doi.org/10.1007/s11042-017-4749-z
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1085134583
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1701",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Psychology",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Psychology and Cognitive Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen",
"id": "https://www.grid.ac/institutes/grid.463910.9",
"name": [
"Universit\u00e9 de Caen Basse-Normandie, CNRS, GREYC, UMR 6072, 14000, Caen, France"
],
"type": "Organization"
},
"familyName": "Nguyen",
"givenName": "Xuan Son",
"id": "sg:person.07751164452.41",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07751164452.41"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Universite De Toulon Et Du Var",
"id": "https://www.grid.ac/institutes/grid.12611.35",
"name": [
"Aix Marseille Universit\u00e9, CNRS, ENSAM, LSIS, UMR 7296, 13397, Marseille, France",
"Universit\u00e9 de Toulon, CNRS, LSIS, UMR 7296, 83957, La Garde, France"
],
"type": "Organization"
},
"familyName": "Nguyen",
"givenName": "Thanh Phuong",
"id": "sg:person.013450506437.08",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013450506437.08"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Lorraine",
"id": "https://www.grid.ac/institutes/grid.29172.3f",
"name": [
"INRIA, 54600, Villers-L\u00e8s-Nancy, France",
"CNRS, LORIA, UMR 7503, 54600, Villers-L\u00e8s-Nancy, France",
"Universit\u00e9 de Lorraine, LORIA, UMR 7503, 54600, Villers-L\u00e8s-Nancy, France"
],
"type": "Organization"
},
"familyName": "Charpillet",
"givenName": "Fran\u00e7ois",
"id": "sg:person.016052731140.95",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016052731140.95"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"ETIS UMR 8051, Universit\u00e9 Paris Seine, UCP, ENSEA, CNRS, 95000, Cergy, France"
],
"type": "Organization"
},
"familyName": "Vu",
"givenName": "Ngoc-Son",
"id": "sg:person.014676147032.78",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014676147032.78"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1145/2393347.2396382",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002533850"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tsmcb.2011.2168604",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006047450"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-642-33709-3_62",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008332607",
"https://doi.org/10.1007/978-3-642-33709-3_62"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11263-013-0636-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012698338",
"https://doi.org/10.1007/s11263-013-0636-x"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neucom.2007.02.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013207250"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neunet.2014.09.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013219854"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1145/1873951.1874249",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013699282"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11554-013-0370-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017162308",
"https://doi.org/10.1007/s11554-013-0370-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1010933404324",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024739340",
"https://doi.org/10.1023/a:1010933404324"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-540-74048-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030350429",
"https://doi.org/10.1007/978-3-540-74048-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-540-74048-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030350429",
"https://doi.org/10.1007/978-3-540-74048-3"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neucom.2007.10.008",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035637386"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/lsp.2014.2361901",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061378954"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/lsp.2016.2592419",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061379730"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tcsvt.2008.2005597",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061575152"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tip.2009.2035882",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061642365"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tpami.2005.188",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061742845"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tpami.2007.1110",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061743235"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tpami.2015.2439257",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061744882"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvpr.1999.786914",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093309188"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvpr.2014.82",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093487177"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvpr.2014.108",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093505622"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvprw.2012.6239232",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093549918"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/iccv.2013.227",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093561416"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvprw.2013.78",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093705125"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvpr.2008.4587598",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093888066"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvpr.2013.123",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094187924"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvpr.2013.123",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094187924"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/ijcnn.2004.1380068",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094360980"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/icpr.1994.576366",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094758643"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/wacv.2015.150",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094775239"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvpr.2008.4587756",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094776319"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvpr.2016.167",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094804690"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvpr.2012.6247813",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094880165"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvpr.2015.7298714",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094903557"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/icpr.2014.772",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095438317"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/iccvw.2013.19",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095460052"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvpr.2013.98",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095557931"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvpr.2013.98",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095557931"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvprw.2010.5543273",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095719282"
],
"type": "CreativeWork"
}
],
"datePublished": "2018-04",
"datePublishedReg": "2018-04-01",
"description": "This paper proposes a new local descriptor for action recognition in depth images using second-order directional Local Derivative Patterns (LDPs). LDP relies on local derivative direction variations to capture local patterns contained in an image region. Our proposed local descriptor combines different directional LDPs computed from three depth maps obtained by representing depth sequences in three orthogonal views and is able to jointly encode the shape and motion cues. Moreover, we suggest the use of Sparse Coding-based Fisher Vector (SCFVC) for encoding local descriptors into a global representation of depth sequences. SCFVC has been proven effective for object recognition but has not gained much attention for action recognition. We perform action recognition using Extreme Learning Machine (ELM). Experimental results on three public benchmark datasets show the effectiveness of the proposed approach.",
"genre": "research_article",
"id": "sg:pub.10.1007/s11042-017-4749-z",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1044869",
"issn": [
"1380-7501",
"1573-7721"
],
"name": "Multimedia Tools and Applications",
"type": "Periodical"
},
{
"issueNumber": "7",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "77"
}
],
"name": "Local derivative pattern for action recognition in depth images",
"pagination": "8531-8549",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"9d7ec9ba5809cc5654d58b6dffd4d965c28111770fbd97faa259e09b4df28c20"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s11042-017-4749-z"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1085134583"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11042-017-4749-z",
"https://app.dimensions.ai/details/publication/pub.1085134583"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T10:37",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000349_0000000349/records_113673_00000004.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs11042-017-4749-z"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11042-017-4749-z'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11042-017-4749-z'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11042-017-4749-z'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11042-017-4749-z'
This table displays all metadata directly associated to this object as RDF triples.
209 TRIPLES
21 PREDICATES
64 URIs
19 LITERALS
7 BLANK NODES