{"id":"https://openalex.org/W2911519877","doi":"https://doi.org/10.1109/avss.2018.8639111","title":"Local Computation with Adaptive Spatial Clustering for Multi-Size Motion Patch Proposals in WAMI","display_name":"Local Computation with Adaptive Spatial Clustering for Multi-Size Motion Patch Proposals in WAMI","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2911519877","doi":"https://doi.org/10.1109/avss.2018.8639111","mag":"2911519877"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2018.8639111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2018.8639111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101504810","display_name":"Yijun Lin","orcid":"https://orcid.org/0000-0001-8173-7116"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijun Lin","raw_affiliation_strings":["University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039219192","display_name":"Yuli Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuli Xia","raw_affiliation_strings":["Institute of Software Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210128818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030271803","display_name":"Fengge Wu","orcid":"https://orcid.org/0000-0002-1958-8321"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengge Wu","raw_affiliation_strings":["Institute of Software Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210128818"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069584904","display_name":"Junsuo Zhao","orcid":"https://orcid.org/0000-0001-8950-4157"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junsuo Zhao","raw_affiliation_strings":["Institute of Software Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210128818"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16385172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"240","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6683944463729858},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6153948903083801},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5778478384017944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21727165579795837},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15276753902435303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6683944463729858},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6153948903083801},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5778478384017944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21727165579795837},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15276753902435303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2018.8639111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2018.8639111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1491152520","https://openalex.org/W1575060531","https://openalex.org/W1958328135","https://openalex.org/W1980844646","https://openalex.org/W2010593049","https://openalex.org/W2046752030","https://openalex.org/W2072054300","https://openalex.org/W2094944735","https://openalex.org/W2104923345","https://openalex.org/W2130293653","https://openalex.org/W2159945133","https://openalex.org/W2407895138","https://openalex.org/W2464535830","https://openalex.org/W2588884840","https://openalex.org/W2605689932","https://openalex.org/W2750023899","https://openalex.org/W3106250896","https://openalex.org/W4248936881","https://openalex.org/W6634243595","https://openalex.org/W6674419415","https://openalex.org/W6736843139","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Near":[0],"real-time":[1],"moving":[2],"object":[3],"detection":[4,41],"in":[5,14,149],"Wide":[6],"Area":[7],"Motion":[8],"Imagery":[9],"(WAMI)":[10],"can":[11,61],"support":[12],"applications":[13],"many":[15,69],"fields.":[16],"However,":[17],"since":[18],"the":[19,82,143],"targets\u2019":[20],"search":[21],"space":[22],"are":[23,87],"extremely":[24],"large,":[25],"current":[26],"state-of-the-art":[27],"methods":[28],"usually":[29],"suffers":[30],"high":[31],"computational":[32],"cost.":[33],"It\u2019s":[34],"crucial":[35],"to":[36,56,97,117],"recommend":[37],"candidate":[38,49],"regions":[39],"for":[40],"first.":[42],"Different":[43],"from":[44],"most":[45],"research":[46],"that":[47,84,142],"extracts":[48],"blobs":[50],"as":[51,68],"proposals,":[52],"this":[53,129],"paper":[54],"attempts":[55],"offer":[57],"high-quality":[58],"patches,":[59],"which":[60,109],"provide":[62],"background":[63],"info":[64],"and":[65,112,136],"be":[66],"taken":[67],"algorithms\u2019":[70],"input":[71],"(convolutional":[72],"neural":[73],"network,":[74],"optical":[75],"flow,":[76],"block":[77],"matching,":[78],"etc.).":[79],"First":[80],"by":[81],"idea":[83],"local":[85,93],"errors":[86],"tolerable,":[88],"neighborhood":[89],"frame":[90],"differencing":[91],"with":[92,124],"computation":[94],"is":[95,115,146],"applied":[96],"roughly":[98],"obtain":[99],"irregular":[100],"blobs.":[101],"After":[102],"that,":[103],"an":[104],"adaptive":[105],"spatial":[106],"clustering":[107],"algorithm":[108,130],"utilizes":[110],"grid":[111],"density":[113],"reachable,":[114],"proposed":[116,144],"generate":[118],"multi-size":[119],"motion":[120],"patches":[121],"quickly.":[122],"Compared":[123],"traditional":[125],"clustering,":[126],"advantages":[127],"of":[128,134],"include":[131],"parameter-free,":[132],"saving":[133],"time":[135],"widely":[137],"applications.":[138],"Experimental":[139],"results":[140],"show":[141],"method":[145],"competitive":[147],"especially":[148],"dense":[150],"traffic":[151],"regions.":[152]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}