{"id":"https://openalex.org/W3175691511","doi":"https://doi.org/10.1109/cbmi50038.2021.9461905","title":"Evaluation of Object Detection Systems and Video Tracking in Skiing Videos","display_name":"Evaluation of Object Detection Systems and Video Tracking in Skiing Videos","publication_year":2021,"publication_date":"2021-06-24","ids":{"openalex":"https://openalex.org/W3175691511","doi":"https://doi.org/10.1109/cbmi50038.2021.9461905","mag":"3175691511"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi50038.2021.9461905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi50038.2021.9461905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Content-Based Multimedia Indexing (CBMI)","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/A5051276279","display_name":"Philip Steinkellner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Philip Steinkellner","raw_affiliation_strings":["Institut f\u00fcr Informationstechnologie, Alpen-Adria-Universit\u00e4t Klagenfurt, Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Informationstechnologie, Alpen-Adria-Universit\u00e4t Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027155720","display_name":"Klaus Sch\u00f6ffmann","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Klaus Schoffmann","raw_affiliation_strings":["Institut f\u00fcr Informationstechnologie, Alpen-Adria-Universit\u00e4t Klagenfurt, Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Informationstechnologie, Alpen-Adria-Universit\u00e4t Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051276279"],"corresponding_institution_ids":["https://openalex.org/I4210166741"],"apc_list":null,"apc_paid":null,"fwci":0.6725,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70839869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.8145924806594849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6884317994117737},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6398413181304932},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.6220511198043823},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.600289523601532},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.597725510597229},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5687741637229919},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5439448952674866},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4964187741279602},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4692167043685913},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.37108319997787476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22047516703605652},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12076538801193237},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10038197040557861}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8145924806594849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6884317994117737},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6398413181304932},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.6220511198043823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.600289523601532},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.597725510597229},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5687741637229919},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5439448952674866},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4964187741279602},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4692167043685913},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.37108319997787476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22047516703605652},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12076538801193237},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10038197040557861},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbmi50038.2021.9461905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi50038.2021.9461905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2037304546","https://openalex.org/W2070273288","https://openalex.org/W2109255472","https://openalex.org/W2117539524","https://openalex.org/W2206858481","https://openalex.org/W2252355370","https://openalex.org/W2291627510","https://openalex.org/W2519020621","https://openalex.org/W2603203130","https://openalex.org/W2613718673","https://openalex.org/W2796347433","https://openalex.org/W2801036749","https://openalex.org/W2950703532","https://openalex.org/W2953106684","https://openalex.org/W2963150697","https://openalex.org/W2963857746","https://openalex.org/W2985432479","https://openalex.org/W3018757597","https://openalex.org/W3035065464","https://openalex.org/W3042011474","https://openalex.org/W3098744844","https://openalex.org/W3104218139","https://openalex.org/W4293584584","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6696672603","https://openalex.org/W6750227808","https://openalex.org/W6777046832"],"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":{"Nowadays,":[0],"modern":[1],"ski":[2,65],"resorts":[3,75],"provide":[4],"additional":[5],"services":[6],"to":[7,207,242],"customers,":[8],"such":[9],"as":[10,121,123],"recording":[11],"videos":[12,59,69],"of":[13,40,49,60,70,81,102,137,183,232],"specific":[14],"moments":[15],"from":[16,64,73,178],"their":[17],"skiing":[18],"experience.":[19],"This":[20,108],"and":[21,45,62,76,83,87,155,189,216,234,245],"similar":[22],"tasks":[23],"can":[24],"be":[25],"achieved":[26],"by":[27],"using":[28],"computer":[29],"vision":[30],"methods.":[31,107],"In":[32,131],"this":[33,96],"work,":[34],"we":[35,98,133,146],"evaluate":[36,99],"the":[37,46,100,117,135,138,158,173,224,249,254],"detection":[38,43,106],"performance":[39,48,101,136,154],"current":[41],"object":[42,105],"methods":[44],"tracking":[47,52,141,231],"a":[50,78,168,209],"detection-based":[51],"algorithm.":[53],"The":[54,201],"evaluation":[55,109],"is":[56,110,226],"based":[57],"on":[58,95,116,128,236],"skiers":[61,86,233],"snowboarders":[63,88,235],"resorts.":[66],"We":[67],"collect":[68],"race":[71,237],"tracks":[72],"different":[74],"compile":[77],"public":[79],"dataset":[80,120],"images":[82],"videos,":[84],"where":[85],"are":[89],"annotated":[90],"with":[91,112,124,218],"bounding":[92,186],"boxes.":[93],"Based":[94],"data,":[97],"four":[103],"state-of-the-art":[104],"performed":[111],"general":[113],"models":[114,126,161,176,194],"trained":[115,127],"MS":[118,159],"COCO":[119,160],"well":[122,228],"custom":[125,169,179],"our":[129],"dataset.":[130],"addition,":[132],"review":[134],"detection-based,":[139],"multi-object":[140],"algorithm":[142],"Deep":[143,203],"SORT,":[144],"which":[145,221],"adapt":[147],"for":[148,230],"skier":[149,246],"tracking.The":[150],"results":[151],"show":[152],"promising":[153],"reveal":[156],"that":[157,223],"already":[162],"achieve":[163],"high":[164,198,219],"Precision,":[165,191],"while":[166,192],"training":[167,180,199],"model":[170],"additionally":[171],"improves":[172],"performance.":[174],"Bigger":[175],"profit":[177],"in":[181],"terms":[182],"more":[184],"accurate":[185],"box":[187],"placement":[188],"higher":[190],"smaller":[193],"have":[195],"an":[196,213],"overall":[197,227],"payoff.":[200],"modified":[202],"SORT":[204],"tracker":[205,225,250],"manages":[206],"follow":[208],"skier's":[210],"trajectory":[211],"over":[212],"extended":[214],"period":[215],"operates":[217],"accuracy,":[220],"indicates":[222],"suited":[229],"tracks.":[238],"Even":[239],"when":[240],"exposed":[241],"strong":[243],"camera":[244],"movement":[247],"changes,":[248],"stays":[251],"latched":[252],"onto":[253],"target.":[255]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}