{"id":"https://openalex.org/W4200420726","doi":"https://doi.org/10.1109/ispacs51563.2021.9651043","title":"On Improving Convolutional Networks Based People Detection with Fisheye Cameras","display_name":"On Improving Convolutional Networks Based People Detection with Fisheye Cameras","publication_year":2021,"publication_date":"2021-11-16","ids":{"openalex":"https://openalex.org/W4200420726","doi":"https://doi.org/10.1109/ispacs51563.2021.9651043"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs51563.2021.9651043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs51563.2021.9651043","pdf_url":null,"source":{"id":"https://openalex.org/S4363605678","display_name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-article"},"type":"article","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/A5017976888","display_name":"Yun-Yi Hsieh","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yun-Yi Hsieh","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077480030","display_name":"Sheng-Ho Chiang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Ho Chiang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090163868","display_name":"Tsaipei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsaipei Wang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017976888"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14127304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"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/T10036","display_name":"Advanced Neural Network Applications","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9945999979972839,"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":0.8299553394317627},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8272069692611694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7446554899215698},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7371175289154053},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6535329818725586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6282394528388977},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5603278279304504},{"id":"https://openalex.org/keywords/ceiling","display_name":"Ceiling (cloud)","score":0.5308148860931396},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4764269292354584},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.421074241399765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.362531840801239},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.068026602268219}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8299553394317627},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8272069692611694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7446554899215698},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7371175289154053},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6535329818725586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6282394528388977},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5603278279304504},{"id":"https://openalex.org/C2777489069","wikidata":"https://www.wikidata.org/wiki/Q1589822","display_name":"Ceiling (cloud)","level":2,"score":0.5308148860931396},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4764269292354584},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.421074241399765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.362531840801239},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.068026602268219},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispacs51563.2021.9651043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs51563.2021.9651043","pdf_url":null,"source":{"id":"https://openalex.org/S4363605678","display_name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1972505918","https://openalex.org/W1985731438","https://openalex.org/W2081037310","https://openalex.org/W2083258975","https://openalex.org/W2161969291","https://openalex.org/W2560678780","https://openalex.org/W2570343428","https://openalex.org/W2783093293","https://openalex.org/W2963150697","https://openalex.org/W6620707391","https://openalex.org/W6646894821","https://openalex.org/W6670488791","https://openalex.org/W6731892127"],"related_works":["https://openalex.org/W2081139303","https://openalex.org/W2767250287","https://openalex.org/W2021208320","https://openalex.org/W1557094818","https://openalex.org/W2354178882","https://openalex.org/W2581715027","https://openalex.org/W3158338669","https://openalex.org/W184756157","https://openalex.org/W2088794597","https://openalex.org/W2969228573"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,45],"propose":[4],"a":[5],"new":[6],"method":[7],"to":[8,32,37,68],"train":[9],"convolutional":[10],"neural":[11],"networks":[12],"for":[13],"detecting":[14],"people":[15],"in":[16,41,56],"images":[17,30],"taken":[18],"with":[19],"ceiling-mounted":[20],"fisheye":[21],"cameras.":[22],"While":[23],"simply":[24],"fine-tune":[25],"existing":[26],"detectors":[27],"using":[28],"annotated":[29],"lead":[31],"increased":[33],"false":[34],"positives":[35],"due":[36],"lack":[38],"of":[39,52],"variety":[40],"the":[42,53,57],"training":[43,58],"data,":[44],"find":[46],"that":[47],"adding":[48],"automatically":[49],"computed":[50],"backgrounds":[51],"target":[54],"scene":[55],"process":[59],"yields":[60],"much":[61],"better":[62],"detection":[63],"accuracies.":[64],"This":[65],"allows":[66],"us":[67],"build":[69],"practical":[70],"scene-specific":[71],"human":[72],"detectors.":[73]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}