{"id":"https://openalex.org/W2400392411","doi":"https://doi.org/10.5220/0004825206290636","title":"Human Action Description Based on Temporal Pyramid Histograms","display_name":"Human Action Description Based on Temporal Pyramid Histograms","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2400392411","doi":"https://doi.org/10.5220/0004825206290636","mag":"2400392411"},"language":"en","primary_location":{"id":"doi:10.5220/0004825206290636","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0004825206290636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27541787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"629","last_page":"636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9697999954223633,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.8803988695144653},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7476562857627869},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7402305006980896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6997289061546326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.695530116558075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6621475219726562},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.634462833404541},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4538494348526001},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.45256900787353516},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44602975249290466},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4286598563194275},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.4280022382736206},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.38992875814437866},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29098203778266907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23163950443267822}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8803988695144653},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7476562857627869},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7402305006980896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6997289061546326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.695530116558075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6621475219726562},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.634462833404541},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4538494348526001},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.45256900787353516},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44602975249290466},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4286598563194275},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4280022382736206},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.38992875814437866},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29098203778266907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23163950443267822},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0004825206290636","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0004825206290636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2053928191","https://openalex.org/W2348780717","https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W2979608518","https://openalex.org/W1964725559","https://openalex.org/W3003960249","https://openalex.org/W2045053268","https://openalex.org/W3109748140"],"abstract_inverted_index":{"In":[0,109],"this":[1,63],"paper,":[2],"we":[3,56,96],"present":[4],"an":[5],"approach":[6,146],"to":[7,101,116,121,141],"action":[8,22,148],"description":[9,104,145],"based":[10,25,89],"on":[11,26,39,90],"temporal":[12,60,67,92],"pyramid":[13,68,93],"histograms.":[14],"Bag":[15],"of":[16,48,53,74,106],"features":[17],"is":[18,45,71],"a":[19,72,98],"widely":[20],"used":[21],"recognition":[23,149],"framework":[24],"local":[27],"features,":[28],"for":[29,133],"example":[30],"spatio-temporal":[31],"feature":[32],"points.":[33],"Although":[34],"it":[35],"outperforms":[36],"other":[37],"approaches":[38],"several":[40],"public":[41],"datasets,":[42],"sequencing":[43],"information":[44],"ignored.":[46],"Instead":[47],"only":[49],"calculating":[50],"the":[51,79,91,103,107,110,117,122,128,142],"occurrence":[52],"code":[54],"words,":[55],"also":[57],"encode":[58],"their":[59],"layout":[61],"in":[62,139],"work.":[64],"The":[65],"proposed":[66],"histograms":[69,94],"descriptor":[70,129],"set":[73],"histogram":[75,118],"atoms":[76,119],"generated":[77],"from":[78],"original":[80],"video":[81],"clip":[82],"and":[83],"its":[84],"subsequences.":[85],"To":[86],"classify":[87],"actions":[88],"descriptor,":[95],"design":[97],"kernel":[99,111],"function":[100],"enhance":[102],"ability":[105],"descriptor.":[108],"function,":[112],"weights":[113],"are":[114],"assigned":[115],"according":[120],"corresponding":[123],"sequence":[124],"lengths.":[125],"We":[126],"test":[127],"using":[130],"nearest":[131],"neighbour":[132],"classification.":[134],"Experimental":[135],"results":[136],"show":[137],"that,":[138],"comparison":[140],"state-of-the-art,":[143],"our":[144],"improves":[147],"accuracy.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
