{"id":"https://openalex.org/W1552038112","doi":"https://doi.org/10.1007/0-387-34224-9_24","title":"A Model of Real-Time Indoor Surveillance System using Behavior Detection","display_name":"A Model of Real-Time Indoor Surveillance System using Behavior Detection","publication_year":2006,"publication_date":"2006-08-25","ids":{"openalex":"https://openalex.org/W1552038112","doi":"https://doi.org/10.1007/0-387-34224-9_24","mag":"1552038112"},"language":"en","primary_location":{"id":"doi:10.1007/0-387-34224-9_24","is_oa":true,"landing_page_url":"https://doi.org/10.1007/0-387-34224-9_24","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F0-387-34224-9_24.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP International Federation for Information Processing","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007%2F0-387-34224-9_24.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076579498","display_name":"Lin Meng","orcid":"https://orcid.org/0000-0003-4351-6923"},"institutions":[{"id":"https://openalex.org/I95023434","display_name":"University of KwaZulu-Natal","ror":"https://ror.org/04qzfn040","country_code":"ZA","type":"education","lineage":["https://openalex.org/I95023434"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"M. W. Lin","raw_affiliation_strings":["School of Computer Science, University of KwaZulu-Natal, Desmond Clarence Building, Durban, 4041, South Africa"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of KwaZulu-Natal, Desmond Clarence Building, Durban, 4041, South Africa","institution_ids":["https://openalex.org/I95023434"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004946956","display_name":"Jules\u2010Raymond Tapamo","orcid":"https://orcid.org/0000-0001-5915-0511"},"institutions":[{"id":"https://openalex.org/I95023434","display_name":"University of KwaZulu-Natal","ror":"https://ror.org/04qzfn040","country_code":"ZA","type":"education","lineage":["https://openalex.org/I95023434"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"J. R. Tapamo","raw_affiliation_strings":["School of Computer Science, University of KwaZulu-Natal, Desmond Clarence Building, Durban, 4041, South Africa"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of KwaZulu-Natal, Desmond Clarence Building, Durban, 4041, South Africa","institution_ids":["https://openalex.org/I95023434"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076579498"],"corresponding_institution_ids":["https://openalex.org/I95023434"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12959381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"204","last_page":"211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T11439","display_name":"Video Analysis and Summarization","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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9965999722480774,"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/background-subtraction","display_name":"Background subtraction","score":0.7935888767242432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.743899941444397},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7346065640449524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6748871803283691},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.5607584714889526},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.4520905911922455},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.43539202213287354},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41951557993888855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41400203108787537},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3334652781486511},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19142624735832214},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.07878589630126953}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.7935888767242432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.743899941444397},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7346065640449524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6748871803283691},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.5607584714889526},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.4520905911922455},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.43539202213287354},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41951557993888855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41400203108787537},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3334652781486511},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19142624735832214},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.07878589630126953},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/0-387-34224-9_24","is_oa":true,"landing_page_url":"https://doi.org/10.1007/0-387-34224-9_24","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F0-387-34224-9_24.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP International Federation for Information Processing","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/0-387-34224-9_24","is_oa":true,"landing_page_url":"https://doi.org/10.1007/0-387-34224-9_24","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F0-387-34224-9_24.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP International Federation for Information Processing","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1552038112.pdf","grobid_xml":"https://content.openalex.org/works/W1552038112.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1521365818","https://openalex.org/W2024530792","https://openalex.org/W2114701396","https://openalex.org/W2115780336","https://openalex.org/W2116449393","https://openalex.org/W2118376687","https://openalex.org/W2140235142","https://openalex.org/W2143373691","https://openalex.org/W2159498975","https://openalex.org/W2170405326"],"related_works":["https://openalex.org/W2188430267","https://openalex.org/W2610698896","https://openalex.org/W2369265144","https://openalex.org/W1575672096","https://openalex.org/W2161219919","https://openalex.org/W28439884","https://openalex.org/W4244119470","https://openalex.org/W2753866198","https://openalex.org/W2093504595","https://openalex.org/W2400514148"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,30,119],"real-time":[6],"surveillance":[7],"system":[8,17],"that":[9],"is":[10,18,36,131],"suitable":[11],"for":[12],"the":[13,25,63,79,82,97,103],"indoor":[14],"environment.":[15],"The":[16,129],"designed":[19],"to":[20,38,77,133],"detect,":[21],"track":[22],"and":[23,53,58,68,86],"recognize":[24,134],"behavior":[26],"of":[27,62,81,84,90,99,106,113,121],"humans,":[28],"using":[29,46,55,126],"single":[31],"static":[32],"camera.":[33],"Background":[34],"subtraction":[35],"applied":[37],"extract":[39],"moving":[40,91,107],"objects;":[41],"these":[42],"objects":[43,85,92,108],"are":[44,51,75,93,109],"tracked":[45],"linear":[47,56],"approximation.":[48],"Shadow":[49],"regions":[50],"detected":[52,94],"removed":[54],"dependence":[57],"spatial":[59],"connectivity":[60],"properties":[61],"shadow":[64],"regions.":[65],"Pattern":[66],"matching":[67],"TDL":[69],"(Two":[70],"Dimensional":[71],"Logarithmic)":[72],"search":[73],"approach":[74],"used":[76,132],"solve":[78],"problem":[80],"occlusion":[83],"depth":[87],"reasoning.":[88],"Behaviors":[89],"by":[95],"examining":[96],"sequence":[98],"shapes":[100,124],"extracted":[101],"from":[102],"scene.":[104],"Shapes":[105],"interpreted":[110],"as":[111],"characters":[112],"an":[114,137],"alphabet.":[115],"Each":[116],"character":[117],"represents":[118],"class":[120],"similar":[122],"blob":[123],"classified":[125],"K-Means":[127],"clustering.":[128],"model":[130],"behaviors":[135],"in":[136],"office":[138],"with":[139],"promising":[140],"results.":[141]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}