{"id":"https://openalex.org/W2981547689","doi":"https://doi.org/10.1145/3343031.3350975","title":"Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking","display_name":"Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981547689","doi":"https://doi.org/10.1145/3343031.3350975","mag":"2981547689"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3350975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.05583","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101421320","display_name":"Haosheng Chen","orcid":"https://orcid.org/0000-0001-6834-2136"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haosheng Chen","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062279616","display_name":"Qiangqiang Wu","orcid":"https://orcid.org/0000-0002-3847-7838"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiangqiang Wu","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604725","display_name":"Yanjie Liang","orcid":"https://orcid.org/0000-0002-9518-0619"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjie Liang","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0002-7985-0037"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044594971","display_name":"Hanzi Wang","orcid":"https://orcid.org/0000-0002-6913-9786"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzi Wang","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"473","last_page":"481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8346007466316223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8156294822692871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7675695419311523},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.7354769110679626},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7203705310821533},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.7050065398216248},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6524866819381714},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6097193360328674},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5388486385345459},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5133029818534851},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4823736250400543},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4706159234046936},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20861172676086426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.19449660181999207}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8346007466316223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8156294822692871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7675695419311523},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7354769110679626},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7203705310821533},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.7050065398216248},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6524866819381714},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6097193360328674},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5388486385345459},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5133029818534851},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4823736250400543},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4706159234046936},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20861172676086426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.19449660181999207},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3343031.3350975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2002.05583","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.05583","pdf_url":"https://arxiv.org/pdf/2002.05583","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.05583","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.05583","pdf_url":"https://arxiv.org/pdf/2002.05583","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W22745672","https://openalex.org/W206948248","https://openalex.org/W1980178290","https://openalex.org/W2016574277","https://openalex.org/W2022186938","https://openalex.org/W2042718506","https://openalex.org/W2067191022","https://openalex.org/W2069964608","https://openalex.org/W2097098310","https://openalex.org/W2124211486","https://openalex.org/W2138311529","https://openalex.org/W2138787968","https://openalex.org/W2154889144","https://openalex.org/W2469278928","https://openalex.org/W2470394683","https://openalex.org/W2472115300","https://openalex.org/W2512653618","https://openalex.org/W2519559998","https://openalex.org/W2557641257","https://openalex.org/W2567239141","https://openalex.org/W2754360834","https://openalex.org/W2766013930","https://openalex.org/W2766641843","https://openalex.org/W2766942272","https://openalex.org/W2766984662","https://openalex.org/W2767142727","https://openalex.org/W2767800299","https://openalex.org/W2775178320","https://openalex.org/W2788172931","https://openalex.org/W2789435382","https://openalex.org/W2793375604","https://openalex.org/W2796368857","https://openalex.org/W2796402180","https://openalex.org/W2803062959","https://openalex.org/W2813817099","https://openalex.org/W2884195444","https://openalex.org/W2886910176","https://openalex.org/W2890948304","https://openalex.org/W2892642687","https://openalex.org/W2896112340","https://openalex.org/W2897770249","https://openalex.org/W2963510238","https://openalex.org/W2964160927","https://openalex.org/W3097980825","https://openalex.org/W3101118898","https://openalex.org/W3102178346","https://openalex.org/W3106188738","https://openalex.org/W3122190729"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Event":[0],"cameras,":[1,165],"which":[2,94,135],"are":[3,33,44,158],"asynchronous":[4,66,103],"bio-inspired":[5],"vision":[6],"sensors,":[7],"have":[8],"shown":[9],"great":[10],"potential":[11],"in":[12,182],"a":[13,107],"variety":[14],"of":[15,27,102,109,120,142,169,177],"situations,":[16],"such":[17],"as":[18],"fast":[19],"motion":[20],"and":[21,40,96,131,166],"low":[22],"illumination":[23],"scenes.":[24],"However,":[25],"most":[26],"the":[28,99,118,124,137,147,175,178],"event-based":[29,46],"object":[30,47,54,75,114,133,154],"tracking":[31,48,155],"methods":[32,49],"designed":[34],"for":[35,71],"scenarios":[36],"with":[37,86,112,151],"untextured":[38],"objects":[39],"uncluttered":[41],"backgrounds.":[42],"There":[43],"few":[45],"that":[50,157],"support":[51],"bounding":[52,73],"box-based":[53,74],"tracking.":[55,76],"The":[56,171],"main":[57],"idea":[58],"behind":[59],"this":[60,79],"work":[61],"is":[62],"to":[63,106,123,128],"propose":[64],"an":[65,83],"Event-based":[67],"Tracking-by-Detection":[68],"(ETD)":[69],"method":[70,127,150,181],"generic":[72],"To":[77],"achieve":[78],"goal,":[80],"we":[81],"present":[82],"Adaptive":[84],"Time-Surface":[85],"Linear":[87],"Time":[88],"Decay":[89],"(ATSLTD)":[90],"event-to-frame":[91],"conversion":[92],"algorithm,":[93],"asynchronously":[95],"effectively":[97],"warps":[98],"spatio-temporal":[100],"information":[101],"retinal":[104],"events":[105],"sequence":[108,119],"ATSLTD":[110,121],"frames":[111,122],"clear":[113],"contours.":[115],"We":[116,145],"feed":[117],"proposed":[125,148,179],"ETD":[126,149,180],"perform":[129],"accurate":[130],"efficient":[132],"tracking,":[134],"leverages":[136],"high":[138],"temporal":[139],"resolution":[140],"property":[141],"event":[143,164],"cameras.":[144],"compare":[146],"seven":[152],"popular":[153],"methods,":[156],"based":[159],"on":[160],"conventional":[161],"cameras":[162],"or":[163],"two":[167],"variants":[168],"ETD.":[170],"experimental":[172],"results":[173],"show":[174],"superiority":[176],"handling":[183],"various":[184],"challenging":[185],"environments.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
