{"id":"https://openalex.org/W3005169722","doi":"https://doi.org/10.15126/thesis.00853281","title":"Indoor scene understanding from visual analysis of human activity","display_name":"Indoor scene understanding from visual analysis of human activity","publication_year":2019,"publication_date":"2019-12-20","ids":{"openalex":"https://openalex.org/W3005169722","doi":"https://doi.org/10.15126/thesis.00853281","mag":"3005169722"},"language":"en","primary_location":{"id":"pmh:oai:epubs.surrey.ac.uk:853281","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/853281/1/samfowler_phd_thesis_final_201219.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"type":"dissertation","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.15126/thesis.00853281","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068151315","display_name":"Sam Fowler","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fowler, Sam","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068151315"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17574364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.996999979019165,"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":0.996999979019165,"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":0.9907000064849854,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9519000053405762,"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":0.6778010725975037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6226155161857605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5953133702278137},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5547147393226624},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4747489094734192},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.47197872400283813},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44331514835357666},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4415363669395447},{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.42072975635528564},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39681482315063477},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11213153600692749}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6778010725975037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6226155161857605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5953133702278137},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5547147393226624},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4747489094734192},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.47197872400283813},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44331514835357666},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4415363669395447},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.42072975635528564},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39681482315063477},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11213153600692749},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:epubs.surrey.ac.uk:853281","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/853281/1/samfowler_phd_thesis_final_201219.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"doi:10.15126/thesis.00853281","is_oa":true,"landing_page_url":"https://doi.org/10.15126/thesis.00853281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:3005169722","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/853281/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.15126/thesis.00853281","is_oa":true,"landing_page_url":"https://doi.org/10.15126/thesis.00853281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W39412422","https://openalex.org/W2297454107","https://openalex.org/W2262769740","https://openalex.org/W3202523281","https://openalex.org/W84534318","https://openalex.org/W3041528151","https://openalex.org/W3168233083","https://openalex.org/W2406538570","https://openalex.org/W2979791938","https://openalex.org/W3094005538","https://openalex.org/W2585505763","https://openalex.org/W2950405180","https://openalex.org/W2172002951","https://openalex.org/W2942836719","https://openalex.org/W2997708596","https://openalex.org/W2767365152","https://openalex.org/W2994374529","https://openalex.org/W3202589883","https://openalex.org/W51961439","https://openalex.org/W3011866242"],"abstract_inverted_index":{"Visual":[0],"scene":[1,10,99,122,141,158,170,180,204,242,248,294,303,345],"understanding":[2,16,34,100,346],"studies":[3],"the":[4,83,90,166,177,194,200,231,267,272,306,314,327,358],"task":[5],"of":[6,17,69,92,114,145,168,202,316,336],"representing":[7],"a":[8,12,133,139,156,240,287],"captured":[9,162,273],"in":[11,64,86,97,210,330],"manner":[13],"emulating":[14],"human-like":[15],"that":[18,313,334],"space.":[19],"Considering":[20],"indoor":[21,78,98,344],"scenes":[22],"are":[23,29,136,253,355],"designed":[24],"for":[25,37],"human":[26,70,94,118,146,207,221,257,281,317,337],"use":[27],"and":[28,43,47,50,53,109,127,227,250,271,292,351],"utilised":[30],"everyday,":[31],"attaining":[32],"this":[33,87,115,261,331],"is":[35,72,152,217,236,283,298],"crucial":[36],"applications":[38],"such":[39,62],"as":[40,59],"robotic":[41],"mapping":[42],"navigation,":[44],"smart":[45],"home":[46,51],"security":[48],"systems,":[49],"healthcare":[52],"assisted":[54],"living.":[55],"However,":[56],"although":[57],"we":[58],"humans":[60],"utilise":[61],"spaces":[63],"our":[65],"day-to-day":[66],"lives,":[67],"analysis":[68,335],"activity":[71,95,119,147,196,208,222,258,282,291,318,338],"not":[73],"commonly":[74],"applied":[75,153,237,341],"towards":[76],"enhancing":[77],"scene-level":[79],"understanding.":[80],"As":[81],"such,":[82],"work":[84,328],"presented":[85,329],"thesis":[88,116,262,332],"investigates":[89,263],"benefits":[91],"including":[93],"information":[96,319],"challenges,":[101,349],"aiming":[102],"to":[103,120,154,164,182,198,223,238,285,300,342,361],"demonstrate":[104],"its":[105,366],"potential":[106],"contributions,":[107],"applications,":[108],"versatility.":[110],"The":[111,190,296],"first":[112],"contribution":[113,192],"utilises":[117],"reveal":[121],"regions":[123],"occluded":[124,179],"behind":[125],"objects":[126],"clutter.":[128],"Human":[129],"poses":[130],"recognised":[131,209],"from":[132,206,230,256,305],"static":[134],"sensor":[135,308],"projected":[137],"into":[138,365],"top-down":[140,195,232,268],"representation":[142,151,197],"recording":[143],"belief":[144],"over":[148],"time.":[149],"This":[150,234],"carve":[155],"volumetric":[157],"map,":[159],"initialised":[160],"on":[161,219,289],"depth,":[163],"expose":[165],"occupancy":[167,181],"hidden":[169],"regions.":[171],"An":[172],"object":[173],"detection":[174],"approach":[175],"exploits":[176],"revealed":[178],"localise":[183],"self-,":[184],"partially-,":[185],"and,":[186],"significantly,":[187],"fully-occluded":[188],"objects.":[189],"second":[191],"extends":[193],"predict":[199],"functionality":[201,252,269],"major":[203,359],"surfaces":[205,229,304],"360":[211],"degree":[212],"video.":[213],"A":[214,276],"convolutional":[215],"network":[216],"trained":[218,299],"simulated":[220],"segment":[224,301],"walkable,":[225],"sittable,":[226],"interactable":[228],"perspective.":[233],"prediction":[235,270],"construct":[239],"complete":[241],"3D":[243],"approximation,":[244],"with":[245,310],"results":[246],"showing":[247],"structure":[249],"surface":[251,323],"predicted":[254],"well":[255],"alone.":[259],"Finally,":[260],"an":[264],"association":[265],"between":[266],"visual":[274,293],"scene.":[275],"new":[277],"dataset":[278],"capturing":[279],"long-term":[280],"introduced":[284,356],"train":[286],"model":[288,297],"combined":[290],"information.":[295],"functional":[302,322],"capture":[307],"perspective,":[309],"evaluation":[311],"establishing":[312],"introduction":[315],"can":[320,339],"improve":[321],"segmentation":[324],"performance.":[325],"Overall,":[326],"demonstrates":[333],"be":[340],"enhance":[343],"across":[347],"various":[348],"sensors,":[350],"representations.":[352],"Assorted":[353],"datasets":[354],"alongside":[357],"contributions":[360],"motivate":[362],"further":[363],"investigation":[364],"application.":[367]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}