{"id":"https://openalex.org/W2793850018","doi":"https://doi.org/10.1109/icip.2017.8297071","title":"Quality-adaptive deep learning for pedestrian detection","display_name":"Quality-adaptive deep learning for pedestrian detection","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2793850018","doi":"https://doi.org/10.1109/icip.2017.8297071","mag":"2793850018"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8297071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5000387040","display_name":"Khalid Tahboub","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khalid Tahboub","raw_affiliation_strings":["Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000264420","display_name":"David G\u00fcera","orcid":"https://orcid.org/0000-0002-3317-8628"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Guera","raw_affiliation_strings":["Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084702125","display_name":"Amy R. Reibman","orcid":"https://orcid.org/0000-0003-1859-1091"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amy R. Reibman","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089688702","display_name":"Edward J. Delp","orcid":"https://orcid.org/0000-0002-2909-7323"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward J. Delp","raw_affiliation_strings":["Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.398,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.74818592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4187","last_page":"4191"},"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":0.9991000294685364,"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":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8514970541000366},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.6282428503036499},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.6064279079437256},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.5820115804672241},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5675289034843445},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5528926253318787},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5491958260536194},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.47405073046684265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47343018651008606},{"id":"https://openalex.org/keywords/adaptive-system","display_name":"Adaptive system","score":0.4564954340457916},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4526781737804413},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"Adaptive learning","score":0.44181716442108154},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4213981330394745},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4208982586860657},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3414958715438843},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2744005620479584},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17805612087249756},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12662273645401},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08553174138069153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8514970541000366},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6282428503036499},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.6064279079437256},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.5820115804672241},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5675289034843445},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5528926253318787},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5491958260536194},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.47405073046684265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47343018651008606},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.4564954340457916},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4526781737804413},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.44181716442108154},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4213981330394745},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4208982586860657},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3414958715438843},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2744005620479584},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17805612087249756},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12662273645401},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08553174138069153},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8297071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W152581782","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1903127635","https://openalex.org/W1975724910","https://openalex.org/W2005055352","https://openalex.org/W2006348604","https://openalex.org/W2015328715","https://openalex.org/W2031454541","https://openalex.org/W2051472819","https://openalex.org/W2058881163","https://openalex.org/W2061329715","https://openalex.org/W2098699644","https://openalex.org/W2117539524","https://openalex.org/W2125556102","https://openalex.org/W2127420331","https://openalex.org/W2128861077","https://openalex.org/W2139479830","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2163922914","https://openalex.org/W2170101770","https://openalex.org/W2183341477","https://openalex.org/W2200528286","https://openalex.org/W2412588858","https://openalex.org/W2497039038","https://openalex.org/W2613718673","https://openalex.org/W2919115771","https://openalex.org/W2962850098","https://openalex.org/W6620707391","https://openalex.org/W6631782140","https://openalex.org/W6637373629","https://openalex.org/W6651642675","https://openalex.org/W6651843365","https://openalex.org/W6684811926"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2537318351","https://openalex.org/W2469036253","https://openalex.org/W1480553938","https://openalex.org/W2136733824","https://openalex.org/W2145201661","https://openalex.org/W2127464786","https://openalex.org/W2293872259","https://openalex.org/W3124750818"],"abstract_inverted_index":{"Pedestrian":[0],"detection":[1],"is":[2,22,28,87],"a":[3,16,52,71],"fundamental":[4],"task":[5],"for":[6],"many":[7],"applications":[8],"including":[9],"autonomous":[10],"vehicles":[11],"and":[12,24,56],"surveillance":[13],"systems.":[14],"In":[15,44],"mobile":[17],"or":[18],"networked":[19],"environment":[20],"bandwidth":[21],"limited":[23],"adaptive":[25,84],"datarate":[26],"streaming":[27,86],"used.":[29],"Video":[30],"compression":[31],"can":[32],"introduce":[33],"significant":[34],"quality":[35],"degradation":[36],"that":[37,82],"impacts":[38],"the":[39,49,61,94,101],"accuracy":[40],"of":[41,51,63],"video":[42,54,64],"analytics.":[43],"this":[45],"paper,":[46],"we":[47],"examine":[48,57],"problem":[50],"changing":[53],"data-rate":[55,85],"how":[58],"it":[59],"affects":[60],"performance":[62],"analytics,":[65],"in":[66],"particular":[67],"pedestrian":[68],"detection,":[69],"using":[70],"two-stage":[72],"quality-adaptive":[73,91],"convolutional":[74],"neural":[75],"network":[76],"system.":[77],"Our":[78],"experimental":[79],"results":[80],"demonstrate":[81],"when":[83],"used,":[88],"our":[89],"proposed":[90],"approach":[92],"reduces":[93],"miss":[95],"rate":[96],"by":[97],"20%":[98],"compared":[99],"to":[100],"baseline":[102],"detector.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
