{"id":"https://openalex.org/W2055773085","doi":"https://doi.org/10.1109/icip.2010.5652192","title":"Recognizing offensive strategies from football videos","display_name":"Recognizing offensive strategies from football videos","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2055773085","doi":"https://doi.org/10.1109/icip.2010.5652192","mag":"2055773085"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5652192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5100772024","display_name":"Ruonan Li","orcid":"https://orcid.org/0000-0001-5419-1533"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruonan Li","raw_affiliation_strings":["Center of Automation Research, University of Maryland, College Park, MD, USA","Center for Automation Research, University of Maryland, College Park, 20742 USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Center of Automation Research, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Center for Automation Research, University of Maryland, College Park, 20742 USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rama Chellappa","raw_affiliation_strings":["Center of Automation Research, University of Maryland, College Park, MD, USA","Center for Automation Research, University of Maryland, College Park, 20742 USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Center of Automation Research, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Center for Automation Research, University of Maryland, College Park, 20742 USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100772024"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":1.5936,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84564052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4585","last_page":"4588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9994000196456909,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9994000196456909,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.994700014591217,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/offensive","display_name":"Offensive","score":0.9646719694137573},{"id":"https://openalex.org/keywords/football","display_name":"Football","score":0.8200645446777344},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.799433708190918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6992870569229126},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5170167684555054},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.511092483997345},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4930073916912079},{"id":"https://openalex.org/keywords/american-football","display_name":"American football","score":0.48667460680007935},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4132794141769409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39534229040145874},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3316643238067627},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16573387384414673},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.1618187427520752},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08433905243873596}],"concepts":[{"id":"https://openalex.org/C176856949","wikidata":"https://www.wikidata.org/wiki/Q2001676","display_name":"Offensive","level":2,"score":0.9646719694137573},{"id":"https://openalex.org/C2778444522","wikidata":"https://www.wikidata.org/wiki/Q1081491","display_name":"Football","level":2,"score":0.8200645446777344},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.799433708190918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992870569229126},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5170167684555054},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.511092483997345},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4930073916912079},{"id":"https://openalex.org/C3020114046","wikidata":"https://www.wikidata.org/wiki/Q41323","display_name":"American football","level":3,"score":0.48667460680007935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4132794141769409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39534229040145874},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3316643238067627},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16573387384414673},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.1618187427520752},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08433905243873596},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/icip.2010.5652192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1969876830","https://openalex.org/W2066802645","https://openalex.org/W2076762532","https://openalex.org/W2097891815","https://openalex.org/W2131276233","https://openalex.org/W2145002876","https://openalex.org/W2153497532","https://openalex.org/W2222512263","https://openalex.org/W4236800880","https://openalex.org/W6674910674","https://openalex.org/W6679968855","https://openalex.org/W7015894924"],"related_works":["https://openalex.org/W4388035172","https://openalex.org/W3209041782","https://openalex.org/W3004145589","https://openalex.org/W2007812776","https://openalex.org/W2919397545","https://openalex.org/W2038590420","https://openalex.org/W2397847768","https://openalex.org/W1147948371","https://openalex.org/W1527384003","https://openalex.org/W634093383"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,22,56,90,93],"problem":[3],"of":[4,25,59,62,85,92],"recognizing":[5],"offensive":[6,45],"play":[7,12,29],"strategies":[8],"from":[9],"American":[10,86],"football":[11,28,38,87],"videos.":[13],"Specifically,":[14],"we":[15,54],"propose":[16],"a":[17,81],"probabilistic":[18],"model":[19],"which":[20],"describes":[21],"generative":[23],"process":[24],"an":[26],"observed":[27],"and":[30,49,65],"takes":[31],"into":[32],"account":[33],"practical":[34],"issues":[35],"in":[36,43],"real":[37],"videos,":[39],"such":[40],"as":[41],"difficulty":[42],"identifying":[44],"players,":[46],"view":[47],"changes,":[48],"tracking":[50],"errors.":[51],"In":[52],"particular,":[53],"exploit":[55],"geometric":[57],"properties":[58],"nonlinear":[60],"spaces":[61],"involved":[63],"variables":[64],"design":[66],"statistical":[67],"models":[68],"on":[69,80],"these":[70],"manifolds.":[71],"Then":[72],"recognition":[73],"is":[74],"performed":[75],"via":[76],"'analysis-by-synthesis'":[77],"technique.":[78],"Experiments":[79],"newly":[82],"established":[83],"dataset":[84],"videos":[88],"demonstrate":[89],"effectiveness":[91],"approach.":[94]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}