{"id":"https://openalex.org/W4415540362","doi":"https://doi.org/10.1145/3746027.3754795","title":"Towards Hazardous Activity Recognition for A Novel Real-World Dataset","display_name":"Towards Hazardous Activity Recognition for A Novel Real-World Dataset","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415540362","doi":"https://doi.org/10.1145/3746027.3754795"},"language":"en","primary_location":{"id":"doi:10.1145/3746027.3754795","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746027.3754795","pdf_url":null,"source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3746027.3754795","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110411485","display_name":"Shehzad Ali","orcid":"https://orcid.org/0009-0002-6327-8141"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Shehzad Ali","raw_affiliation_strings":["Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0002-6327-8141","affiliations":[{"raw_affiliation_string":"Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023117959","display_name":"Md Tanvir Islam","orcid":"https://orcid.org/0009-0007-9405-5684"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Md Tanvir Islam","raw_affiliation_strings":["Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0007-9405-5684","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086648739","display_name":"Ik Hyun Lee","orcid":"https://orcid.org/0000-0002-0605-7572"},"institutions":[{"id":"https://openalex.org/I4210133611","display_name":"TechLab (United States)","ror":"https://ror.org/04jwhvn72","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133611"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ik Hyun Lee","raw_affiliation_strings":["Department of Mechatronics Engineering, Tech University and IKLAB Inc., Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-0605-7572","affiliations":[{"raw_affiliation_string":"Department of Mechatronics Engineering, Tech University and IKLAB Inc., Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4210133611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068015974","display_name":"Mingfu Xiong","orcid":"https://orcid.org/0000-0003-0487-0356"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingfu Xiong","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0487-0356","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023083273","display_name":"Minh-Son Dao","orcid":"https://orcid.org/0000-0003-3044-8175"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Minh-Son Dao","raw_affiliation_strings":["Big Data Integration Research Center-NICT, Nukui-kiyamachi, Koganei, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3044-8175","affiliations":[{"raw_affiliation_string":"Big Data Integration Research Center-NICT, Nukui-kiyamachi, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I90023481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084633048","display_name":"Saeed Anwar","orcid":"https://orcid.org/0000-0002-0692-8411"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Saeed Anwar","raw_affiliation_strings":["Department of Computer Science and Software Engineering, University of Western Australia, Perth, Western Australia, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0692-8411","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, University of Western Australia, Perth, Western Australia, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068696661","display_name":"Sambit Bakshi","orcid":"https://orcid.org/0000-0002-6107-114X"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sambit Bakshi","raw_affiliation_strings":["National Institute of Technology, Rourkela, India"],"raw_orcid":"https://orcid.org/0000-0002-6107-114X","affiliations":[{"raw_affiliation_string":"National Institute of Technology, Rourkela, India","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018267985","display_name":"Khan Muhammad","orcid":"https://orcid.org/0000-0002-5302-1150"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Khan Muhammad","raw_affiliation_strings":["Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-5302-1150","affiliations":[{"raw_affiliation_string":"Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":6,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5110411485"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":0.9939,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81491305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5326","last_page":"5335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9987999796867371,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/hazardous-waste","display_name":"Hazardous waste","score":0.772599995136261},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7242000102996826},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5442000031471252},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46880000829696655},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4408000111579895},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.38609999418258667}],"concepts":[{"id":"https://openalex.org/C22507642","wikidata":"https://www.wikidata.org/wiki/Q1069369","display_name":"Hazardous waste","level":2,"score":0.772599995136261},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7242000102996826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6244999766349792},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5442000031471252},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46880000829696655},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4408000111579895},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3310999870300293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3228999972343445},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.27970001101493835}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3746027.3754795","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746027.3754795","pdf_url":null,"source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/59f5a2a5-d1ad-4796-a8bf-8ed1a2bc11ca","is_oa":true,"landing_page_url":"https://admin.research-repository.uwa.edu.au/en/publications/59f5a2a5-d1ad-4796-a8bf-8ed1a2bc11ca","pdf_url":null,"source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ali, S, Islam, M T, Lee, I H, Xiong, M, Dao, M S, Anwar, S, Bakshi, S & Muhammad, K 2025, Towards Hazardous Activity Recognition for A Novel Real-World Dataset. in MM 2025 - Proceedings of the 33rd ACM International Conference on Multimedia, Co-Located with MM 2025. MM 2025 - Proceedings of the 33rd ACM International Conference on Multimedia, Co-Located with MM 2025, Association for Computing Machinery (ACM), pp. 5326-5335, 33rd ACM International Conference on Multimedia, MM 2025, Dublin, Ireland, 27/10/25. https://doi.org/10.1145/3746027.3754795","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1145/3746027.3754795","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746027.3754795","pdf_url":null,"source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1927052826","https://openalex.org/W2963524571","https://openalex.org/W2963820951","https://openalex.org/W2990503944","https://openalex.org/W3007075806","https://openalex.org/W3007528719","https://openalex.org/W3034572008","https://openalex.org/W3212368439","https://openalex.org/W4213019189","https://openalex.org/W4214612132","https://openalex.org/W4226054578","https://openalex.org/W4282981352","https://openalex.org/W4312560592","https://openalex.org/W4379382445","https://openalex.org/W4386076325","https://openalex.org/W4398145673"],"related_works":[],"abstract_inverted_index":{"Detecting":[0],"hazardous":[1,53,70],"activities":[2,54],"is":[3],"essential":[4],"for":[5,51,69,142,148],"ensuring":[6],"safety.":[7],"However,":[8],"existing":[9],"datasets":[10],"often":[11],"lack":[12],"coverage":[13],"of":[14,28,90,102],"the":[15,26,37,91,118,130,140,146],"nuanced":[16],"and":[17,45,76,132,152,157],"diverse":[18,46],"hazards":[19],"present":[20],"in":[21,55],"indoor":[22,57],"environments,":[23],"which":[24],"hinders":[25],"development":[27],"a":[29,43,64,87,100,123],"specialized":[30],"model.":[31],"To":[32],"address":[33],"this,":[34],"we":[35,61],"introduce":[36,62],"Real-World":[38],"Hazardous":[39],"Activities":[40],"Dataset":[41],"(RHAD),":[42],"novel":[44],"video":[47],"dataset":[48,131,156],"specifically":[49],"curated":[50],"recognizing":[52],"real-world":[56],"settings.":[58],"Leveraging":[59],"RHAD,":[60],"HazardNet,":[63],"hybrid":[65],"deep-learning":[66],"architecture":[67],"designed":[68],"activity":[71,104],"recognition.":[72],"HazardNet":[73],"integrates":[74],"local":[75],"global":[77],"spatial-temporal":[78],"representation":[79],"modules":[80],"to":[81],"effectively":[82],"capture":[83],"complex":[84],"patterns,":[85],"enabling":[86],"robust":[88],"understanding":[89],"activity.":[92],"We":[93],"perform":[94],"comprehensive":[95],"evaluations":[96],"by":[97,128],"benchmarking":[98],"against":[99],"range":[101],"state-of-the-art":[103],"recognition":[105,135],"models.":[106],"Experimental":[107],"results":[108],"show":[109],"that":[110],"our":[111,137],"proposed":[112],"model":[113],"performs":[114],"significantly":[115],"better,":[116],"surpassing":[117],"latest":[119],"model,":[120,136],"VideoMamba,":[121],"with":[122],"9.2%":[124],"accuracy":[125],"gain.":[126],"Moreover,":[127],"providing":[129],"an":[133],"effective":[134],"work":[138],"lays":[139],"foundation":[141],"further":[143],"research,":[144],"paving":[145],"way":[147],"enhanced":[149],"safety":[150],"measures":[151],"preventive":[153],"interventions.":[154],"The":[155],"code":[158],"are":[159],"available":[160],"at":[161],"https://github.com/ShehzadCS18/RHAD.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-27T09:02:27.158192","created_date":"2025-10-25T00:00:00"}