{"id":"https://openalex.org/W2153661882","doi":"https://doi.org/10.1145/2683483.2683524","title":"A Flow-based Interest Point Detector for Action Recognition in Videos","display_name":"A Flow-based Interest Point Detector for Action Recognition in Videos","publication_year":2014,"publication_date":"2014-12-14","ids":{"openalex":"https://openalex.org/W2153661882","doi":"https://doi.org/10.1145/2683483.2683524","mag":"2153661882"},"language":"en","primary_location":{"id":"doi:10.1145/2683483.2683524","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2683483.2683524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100604805","display_name":"Gaurav Yadav","orcid":"https://orcid.org/0000-0002-9286-8522"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gaurav Kumar Yadav","raw_affiliation_strings":["Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087629613","display_name":"Amit Sethi","orcid":"https://orcid.org/0000-0002-8634-1804"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Sethi","raw_affiliation_strings":["Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India","institution_ids":["https://openalex.org/I1317621060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1317621060"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991000294685364,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interest-point-detection","display_name":"Interest point detection","score":0.652249813079834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6496995091438293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6313645839691162},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6178159713745117},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5955207943916321},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5893492102622986},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5774960517883301},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.49792957305908203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4786185622215271},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4443740248680115},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.4310840666294098},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26723599433898926},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.19988465309143066},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1627621352672577},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13531160354614258}],"concepts":[{"id":"https://openalex.org/C38785706","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Interest point detection","level":5,"score":0.652249813079834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6496995091438293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6313645839691162},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6178159713745117},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5955207943916321},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5893492102622986},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5774960517883301},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.49792957305908203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4786185622215271},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4443740248680115},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.4310840666294098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26723599433898926},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.19988465309143066},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1627621352672577},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13531160354614258},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2683483.2683524","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2683483.2683524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W106005634","https://openalex.org/W1505641881","https://openalex.org/W1513753641","https://openalex.org/W1534763723","https://openalex.org/W1677409904","https://openalex.org/W1987856077","https://openalex.org/W1993229407","https://openalex.org/W2003543060","https://openalex.org/W2006418666","https://openalex.org/W2010399676","https://openalex.org/W2020163092","https://openalex.org/W2024868105","https://openalex.org/W2034328688","https://openalex.org/W2056445674","https://openalex.org/W2074604714","https://openalex.org/W2092004207","https://openalex.org/W2096691069","https://openalex.org/W2103140817","https://openalex.org/W2108333036","https://openalex.org/W2110142955","https://openalex.org/W2110298216","https://openalex.org/W2127786001","https://openalex.org/W2140223865","https://openalex.org/W2142194269","https://openalex.org/W2146634731","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2158169396","https://openalex.org/W2533739470","https://openalex.org/W2561453802","https://openalex.org/W2751023760","https://openalex.org/W2886362482","https://openalex.org/W3143763605","https://openalex.org/W6604315852","https://openalex.org/W6634713522","https://openalex.org/W6669095753"],"related_works":["https://openalex.org/W2000587207","https://openalex.org/W4211038350","https://openalex.org/W2122960030","https://openalex.org/W1773272891","https://openalex.org/W2054294699","https://openalex.org/W2066739829","https://openalex.org/W4321504701","https://openalex.org/W1915721503","https://openalex.org/W2480469092","https://openalex.org/W2943438544"],"abstract_inverted_index":{"Video":[0],"interest":[1,21,30,66,104],"points,":[2],"in":[3,131],"combination":[4],"with":[5,127],"local":[6],"appearance":[7],"descriptors,":[8],"are":[9,24],"used":[10],"for":[11],"human":[12],"action":[13,122],"recognition.":[14],"Most":[15],"of":[16,27,55,73,79,83,103,134],"the":[17,34,39,45,56,80,84,92],"previously":[18,89],"proposed":[19,90,93],"video":[20,109,113],"point":[22,31,67],"detectors":[23],"straightforward":[25],"extensions":[26],"some":[28],"image":[29],"detector":[32,68],"or":[33],"other.":[35],"These":[36],"methods":[37],"treat":[38],"temporal":[40,57,85],"dimension":[41,58],"(inter-frame)":[42],"similar":[43],"to":[44,76,88],"spatial":[46,116],"dimensions":[47],"(intra-frame).":[48],"We":[49,63],"argue":[50],"that":[51],"certain":[52],"unique":[53,81],"properties":[54,82],"beg":[59],"a":[60,132],"different":[61],"treatment.":[62],"propose":[64],"an":[65],"based":[69],"on":[70],"vector":[71],"calculus":[72],"optical":[74],"flow":[75],"take":[77],"advantage":[78],"dimension.":[86],"Compared":[87],"methods,":[91],"method":[94],"exhibits":[95],"higher":[96],"repeatability":[97],"(robustness)":[98],"and":[99,115],"lower":[100],"displacement":[101],"(stability)":[102],"points":[105],"under":[106],"two":[107],"common":[108],"transformations":[110],"tested":[111],"\u2014":[112],"compression":[114],"scaling.":[117],"It":[118],"also":[119],"shows":[120],"competitive":[121],"recognition":[123],"performance":[124],"when":[125],"paired":[126],"appropriate":[128],"feature":[129],"descriptors":[130],"bag":[133],"features":[135],"model.":[136]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
