{"id":"https://openalex.org/W3047377249","doi":null,"title":"Anomalies Detection and Tracking Using Siamese Neural Networks","display_name":"Anomalies Detection and Tracking Using Siamese Neural Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3047377249","mag":"3047377249"},"language":"en","primary_location":{"id":"pmh:oai:openrepository.aut.ac.nz:10292/13525","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10292/13525","pdf_url":"http://hdl.handle.net/10292/13525","source":{"id":"https://openalex.org/S4306401809","display_name":"Tuwhera (Auckland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I39854758","host_organization_name":"Auckland University of Technology","host_organization_lineage":["https://openalex.org/I39854758"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10292/13525","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101497722","display_name":"Na An","orcid":"https://orcid.org/0000-0003-4667-2948","observed_orcids":["https://orcid.org/0000-0003-4667-2948"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Na An","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4667-2948","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5101497722"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":null,"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":0.7939000129699707,"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":0.7939000129699707,"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":0.09000000357627869,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.08699999749660492,"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/anomaly-detection","display_name":"anomaly detection","score":0.953000009059906},{"id":"https://openalex.org/keywords/sidewalks","display_name":"sidewalks","score":0.4350000023841858},{"id":"https://openalex.org/keywords/multi-object-tracking","display_name":"multi-target tracking","score":0.7630000114440918},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.6990000009536743},{"id":"https://openalex.org/keywords/siamese-network","display_name":"Siamese network","score":0.8550000190734863},{"id":"https://openalex.org/keywords/siamrpn","display_name":"SiamRPN++","score":0.949999988079071},{"id":"https://openalex.org/keywords/ssd","display_name":"SSD","score":0.43700000643730164},{"id":"https://openalex.org/keywords/hungarian-algorithm","display_name":"Hungarian algorithm","score":0.847000002861023},{"id":"https://openalex.org/keywords/data-association","display_name":"data association","score":0.9210000038146973}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5695807337760925},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5615754723548889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5103513598442078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48596203327178955},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1508258879184723},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:openrepository.aut.ac.nz:10292/13525","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10292/13525","pdf_url":"http://hdl.handle.net/10292/13525","source":{"id":"https://openalex.org/S4306401809","display_name":"Tuwhera (Auckland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I39854758","host_organization_name":"Auckland University of Technology","host_organization_lineage":["https://openalex.org/I39854758"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:3047377249","doi":null,"is_oa":false,"landing_page_url":"https://openrepository.aut.ac.nz/handle/10292/13525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:openrepository.aut.ac.nz:10292/13525","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10292/13525","pdf_url":"http://hdl.handle.net/10292/13525","source":{"id":"https://openalex.org/S4306401809","display_name":"Tuwhera (Auckland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I39854758","host_organization_name":"Auckland University of Technology","host_organization_lineage":["https://openalex.org/I39854758"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310339","display_name":"Auckland University of Technology, New Zealand","ror":"https://ror.org/01zvqw119"},{"id":"https://openalex.org/F4320337380","display_name":"Division of Mathematical Sciences","ror":"https://ror.org/051fftw81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3047377249.pdf","grobid_xml":"https://content.openalex.org/works/W3047377249.grobid-xml"},"referenced_works_count":96,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1260016492","https://openalex.org/W1485009520","https://openalex.org/W1536680647","https://openalex.org/W1574496672","https://openalex.org/W1904741086","https://openalex.org/W1967456674","https://openalex.org/W1968969471","https://openalex.org/W1973393984","https://openalex.org/W1983881858","https://openalex.org/W2031031248","https://openalex.org/W2041600899","https://openalex.org/W2054888992","https://openalex.org/W2065301447","https://openalex.org/W2093522708","https://openalex.org/W2096343094","https://openalex.org/W2102605133","https://openalex.org/W2110717643","https://openalex.org/W2122361470","https://openalex.org/W2136939460","https://openalex.org/W2138866680","https://openalex.org/W2140093718","https://openalex.org/W2149933564","https://openalex.org/W2158190429","https://openalex.org/W2163605009","https://openalex.org/W2163612318","https://openalex.org/W2164223054","https://openalex.org/W2165698076","https://openalex.org/W2175711684","https://openalex.org/W2224145245","https://openalex.org/W2237765446","https://openalex.org/W2252355370","https://openalex.org/W2291627510","https://openalex.org/W2295582178","https://openalex.org/W2315911416","https://openalex.org/W2461549008","https://openalex.org/W2491664569","https://openalex.org/W2508815980","https://openalex.org/W2511067925","https://openalex.org/W2526027614","https://openalex.org/W2526969612","https://openalex.org/W2527524734","https://openalex.org/W2562439797","https://openalex.org/W2571975379","https://openalex.org/W2573587735","https://openalex.org/W2574979776","https://openalex.org/W2579024533","https://openalex.org/W2586661295","https://openalex.org/W2604262106","https://openalex.org/W2607603241","https://openalex.org/W2612451596","https://openalex.org/W2619293320","https://openalex.org/W2739491435","https://openalex.org/W2751993439","https://openalex.org/W2766177300","https://openalex.org/W2772135636","https://openalex.org/W2773656608","https://openalex.org/W2775795276","https://openalex.org/W2776035257","https://openalex.org/W2779142853","https://openalex.org/W2783284144","https://openalex.org/W2795376175","https://openalex.org/W2799058067","https://openalex.org/W2806270886","https://openalex.org/W2807154909","https://openalex.org/W2807883812","https://openalex.org/W2894176037","https://openalex.org/W2895150009","https://openalex.org/W2908939556","https://openalex.org/W2909494862","https://openalex.org/W2912441479","https://openalex.org/W2913332712","https://openalex.org/W2913841731","https://openalex.org/W2936520980","https://openalex.org/W2946327825","https://openalex.org/W2962752334","https://openalex.org/W2962778460","https://openalex.org/W2962845546","https://openalex.org/W2963150697","https://openalex.org/W2963481014","https://openalex.org/W2963534981","https://openalex.org/W2964010755","https://openalex.org/W2981156023","https://openalex.org/W2985391290","https://openalex.org/W2996239112","https://openalex.org/W2996870697","https://openalex.org/W2998638020","https://openalex.org/W2999520425","https://openalex.org/W3003490096","https://openalex.org/W3003755491","https://openalex.org/W3006743183","https://openalex.org/W3009184094","https://openalex.org/W3014952138","https://openalex.org/W3015974077","https://openalex.org/W3106250896","https://openalex.org/W3174812960"],"related_works":["https://openalex.org/W2789918828","https://openalex.org/W7070970278","https://openalex.org/W4322753964","https://openalex.org/W2614641534","https://openalex.org/W4288058485","https://openalex.org/W4408401643","https://openalex.org/W7023939451","https://openalex.org/W3160908140","https://openalex.org/W2725421235","https://openalex.org/W4226074596"],"abstract_inverted_index":{"In":[0],"this":[1,99],"thesis,":[2],"we":[3,42],"detect":[4,37],"and":[5,38,112,130],"track":[6],"anomalies":[7],"on":[8,62],"the":[9,44,63,82,87,105],"sidewalk":[10],"using":[11],"deep":[12,143],"learning.":[13],"The":[14,21,47,57,96,135],"proposed":[15,58,106,136],"network":[16,66],"consists":[17],"of":[18,55,98,117,142],"two":[19],"parts:":[20],"first":[22],"part":[23],"is":[24,34,50,60,94,138],"an":[25],"object":[26,109,127],"detection":[27,128],"network,":[28],"namely,":[29],"SSD(Single":[30],"Shot":[31],"MultiBox":[32],"Detector)":[33],"employed":[35],"to":[36,51,146],"classify":[39],"objects,":[40],"then":[41],"get":[43],"abnormal":[45],"targets.":[46],"second":[48],"one":[49],"find":[52],"data":[53],"association":[54],"objects.":[56],"model":[59,107,137],"based":[61],"single-target":[64,131],"tracking":[65,71,113,123,132],"SiamRPN,":[67],"which":[68,150],"assists":[69],"multi-target":[70,122],"through":[72],"a":[73,139],"cyclic":[74],"structure.":[75],"We":[76,103,120],"follow":[77],"Hungarian":[78],"algorithm":[79,129],"for":[80,108,114],"getting":[81],"final":[83],"matching":[84],"results.":[85],"Both":[86],"networks":[88,145],"are":[89],"trained":[90],"offline,":[91],"their":[92],"performance":[93],"well.":[95],"contributions":[97],"thesis":[100],"are:":[101],"(1)":[102],"implement":[104],"recognition,":[110],"classification,":[111],"multiple":[115],"types":[116],"anomalies.":[118],"(2)":[119],"achieve":[121,147],"by":[124],"combining":[125],"our":[126],"algorithm.":[133],"(3)":[134],"novel":[140],"type":[141],"neural":[144],"anomaly":[148],"detection,":[149],"has":[151],"not":[152],"been":[153],"found":[154],"in":[155],"previous":[156],"work.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-08-10T00:00:00"}
