{"id":"https://openalex.org/W2156036559","doi":"https://doi.org/10.1109/ssiai.2014.6806054","title":"Social behavior analysis of Drosophila larvae via motion activity recognition","display_name":"Social behavior analysis of Drosophila larvae via motion activity recognition","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2156036559","doi":"https://doi.org/10.1109/ssiai.2014.6806054","mag":"2156036559"},"language":"en","primary_location":{"id":"doi:10.1109/ssiai.2014.6806054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2014.6806054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Southwest Symposium on Image Analysis and Interpretation","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":[{"author_position":"first","author":{"id":"https://openalex.org/A5050587873","display_name":"Micah Consylman","orcid":null},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Micah Consylman","raw_affiliation_strings":["Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia, USA"],"affiliations":[{"raw_affiliation_string":"Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076283372","display_name":"Suvadip Mukherjee","orcid":"https://orcid.org/0000-0002-2842-6527"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suvadip Mukherjee","raw_affiliation_strings":["Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia, USA"],"affiliations":[{"raw_affiliation_string":"Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006205250","display_name":"Dipti Prasad Mukherjee","orcid":"https://orcid.org/0000-0001-5553-2790"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dipti Prasad Mukherjee","raw_affiliation_strings":["Electronics and Communication Sciences Unit, India Statistical Institute, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Sciences Unit, India Statistical Institute, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014145070","display_name":"Barry Condron","orcid":"https://orcid.org/0000-0003-2610-5065"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Barry Condron","raw_affiliation_strings":["Department of Biology, University of Virginia, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biology, University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034452294","display_name":"Scott T. Acton","orcid":"https://orcid.org/0000-0003-3288-1255"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott T. Acton","raw_affiliation_strings":["Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia, USA"],"affiliations":[{"raw_affiliation_string":"Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050587873"],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12316123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"93","issue":null,"first_page":"161","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13269","display_name":"Orthoptera Research and Taxonomy","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10487","display_name":"Plant and animal studies","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.8444973230361938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6739420890808105},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6722054481506348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6489940285682678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6058885455131531},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.555530846118927},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5197234153747559},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49318188428878784},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4709922671318054},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.4587481617927551},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.4400528073310852},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43513578176498413},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4219481348991394},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.33893883228302},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2024630308151245},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1002739667892456},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.09209081530570984}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.8444973230361938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6739420890808105},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6722054481506348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6489940285682678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6058885455131531},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.555530846118927},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5197234153747559},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49318188428878784},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4709922671318054},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.4587481617927551},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4400528073310852},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43513578176498413},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4219481348991394},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.33893883228302},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2024630308151245},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1002739667892456},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.09209081530570984},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssiai.2014.6806054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2014.6806054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Southwest Symposium on Image Analysis and Interpretation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5899999737739563,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1578285471","https://openalex.org/W1596717185","https://openalex.org/W1975747104","https://openalex.org/W1995129909","https://openalex.org/W1995881291","https://openalex.org/W2102372511","https://openalex.org/W2102439945","https://openalex.org/W2116040950","https://openalex.org/W2116511687","https://openalex.org/W2142322914","https://openalex.org/W2152235301","https://openalex.org/W2161969291","https://openalex.org/W2165406874","https://openalex.org/W2171234607","https://openalex.org/W2172000360","https://openalex.org/W2751023760","https://openalex.org/W3119651796","https://openalex.org/W6675097358","https://openalex.org/W6685199593"],"related_works":["https://openalex.org/W1979041948","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","https://openalex.org/W2767833206"],"abstract_inverted_index":{"We":[0],"aim":[1],"to":[2,36,70,115,124],"analyze":[3],"the":[4,27,37,41,52,56,103,117],"social":[5,38],"behavior":[6,39],"of":[7,13,40,55,75],"Drosophila":[8],"larvae":[9,57],"through":[10],"automated":[11],"identification":[12],"their":[14,34],"motion":[15,53],"activity":[16,19],"pattern.":[17],"Social":[18],"recognition":[20],"is":[21,90,129],"an":[22,93],"essential":[23],"step":[24],"in":[25,33,142],"identifying":[26],"correlation":[28],"between":[29],"specific":[30,81],"neuronal":[31],"structures":[32],"brain":[35],"species.":[42],"Larvae":[43],"videos":[44],"are":[45,68],"obtained":[46,130],"using":[47,110,132],"low-cost":[48],"overhead":[49],"video;":[50],"subsequently,":[51],"features":[54,67],"generated":[58],"by":[59,95,109,131],"computing":[60],"a":[61,72,80,133],"gradient":[62,119],"weighted":[63],"optical":[64,88],"flow.":[65],"These":[66],"used":[69],"create":[71],"global":[73],"histogram":[74],"gradient-weighted":[76],"optic":[77],"flow":[78,89],"over":[79],"time":[82],"frame.":[83],"The":[84],"method":[85,108],"for":[86],"estimating":[87],"based":[91],"on":[92,102],"implementation":[94],"Gautama":[96],"and":[97,106,120,137],"Van":[98],"Hulle":[99],"that":[100],"expands":[101],"classical":[104],"Horn":[105],"Schunck":[107],"spatial":[111],"Gabor":[112],"filter":[113],"pair":[114],"find":[116,125],"intensity":[118],"recurrent":[121],"neural":[122],"networks":[123],"velocity.":[126],"Activity":[127],"classification":[128],"support":[134],"vector":[135],"machine":[136],"yields":[138],"82%":[139],"overall":[140],"accuracy":[141],"classification.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}