{"id":"https://openalex.org/W2148169863","doi":"https://doi.org/10.1109/dicta.2007.4426775","title":"An Experimental Evaluation of Local Features for Pedestrian Classification","display_name":"An Experimental Evaluation of Local Features for Pedestrian Classification","publication_year":2007,"publication_date":"2007-12-01","ids":{"openalex":"https://openalex.org/W2148169863","doi":"https://doi.org/10.1109/dicta.2007.4426775","mag":"2148169863"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2007.4426775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2007.4426775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://openresearch-repository.anu.edu.au/bitstreams/184c8561-4cc6-485a-bb89-04b330d005e5/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083707053","display_name":"Sakrapee Paisitkriangkrai","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sakrapee Paisitkriangkrai","raw_affiliation_strings":["NICTA, Australia","University of New South Wales, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NICTA, Australia","institution_ids":["https://openalex.org/I42894916"]},{"raw_affiliation_string":"University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006294869","display_name":"Chunhua Shen","orcid":"https://orcid.org/0000-0002-8648-8718"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chunhua Shen","raw_affiliation_strings":["Australian National University, Australia","NICTA, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian National University, Australia","institution_ids":["https://openalex.org/I118347636"]},{"raw_affiliation_string":"NICTA, Australia","institution_ids":["https://openalex.org/I42894916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409994","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-7240-3541"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["NICTA, Australia","University of New South Wales, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NICTA, Australia","institution_ids":["https://openalex.org/I42894916"]},{"raw_affiliation_string":"University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8395,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87033598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"53","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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":0.9945999979972839,"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/support-vector-machine","display_name":"Support vector machine","score":0.787295937538147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7652195692062378},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.7587082982063293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7348659038543701},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6621456146240234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6518685817718506},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6223389506340027},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.562397837638855},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.5056829452514648},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4556546211242676},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.4355143904685974},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.41810142993927},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.37616515159606934},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3539941608905792},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.31998592615127563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19361746311187744},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13002079725265503},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08981338143348694}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.787295937538147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7652195692062378},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.7587082982063293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7348659038543701},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6621456146240234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6518685817718506},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6223389506340027},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.562397837638855},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.5056829452514648},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4556546211242676},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.4355143904685974},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.41810142993927},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.37616515159606934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3539941608905792},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.31998592615127563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19361746311187744},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13002079725265503},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08981338143348694},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/dicta.2007.4426775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2007.4426775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007)","raw_type":"proceedings-article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/28285","is_oa":true,"landing_page_url":"http://hdl.handle.net/1885/28285","pdf_url":"https://openresearch-repository.anu.edu.au/bitstreams/184c8561-4cc6-485a-bb89-04b330d005e5/download","source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications","raw_type":"Conference paper"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/68945","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/68945","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1109/dicta.2007.4426775","raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/28285","is_oa":true,"landing_page_url":"http://hdl.handle.net/1885/28285","pdf_url":"https://openresearch-repository.anu.edu.au/bitstreams/184c8561-4cc6-485a-bb89-04b330d005e5/download","source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications","raw_type":"Conference paper"},"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2148169863.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1549083695","https://openalex.org/W1563088657","https://openalex.org/W1576520375","https://openalex.org/W1608462934","https://openalex.org/W2074398519","https://openalex.org/W2109258005","https://openalex.org/W2127206500","https://openalex.org/W2135457387","https://openalex.org/W2151103935","https://openalex.org/W2154740476","https://openalex.org/W2156539399","https://openalex.org/W2156909104","https://openalex.org/W2161969291","https://openalex.org/W2162253476","https://openalex.org/W3097096317","https://openalex.org/W4230674625","https://openalex.org/W6632640995","https://openalex.org/W6634442568","https://openalex.org/W6682736280"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W1977648593","https://openalex.org/W2348780717","https://openalex.org/W2780165746","https://openalex.org/W4252030899","https://openalex.org/W3087821047","https://openalex.org/W2602033589","https://openalex.org/W4235475963","https://openalex.org/W2069019032"],"abstract_inverted_index":{"The":[0,39,62,84],"ability":[1],"to":[2],"detect":[3],"pedestrians":[4],"is":[5,59],"a":[6],"first":[7],"important":[8],"step":[9],"in":[10,72,117],"many":[11],"computer":[12],"vision":[13],"applications":[14],"such":[15],"as":[16],"video":[17],"surveillance.":[18],"This":[19],"paper":[20],"presents":[21],"an":[22],"experimental":[23,85],"study":[24],"on":[25,66],"pedestrian":[26,42],"detection":[27,43],"using":[28,44],"state-of-the-art":[29],"local":[30,53],"feature":[31,57],"extraction":[32],"and":[33,52,74,99],"support":[34],"vector":[35],"machine":[36],"(SVM)":[37],"classifiers.":[38],"performance":[40],"of":[41,48,109],"region":[45,89],"covariance,":[46],"histogram":[47],"oriented":[49],"gradients":[50],"(HOG)":[51],"receptive":[54],"fields":[55],"(LRF)":[56],"descriptors":[58],"experimentally":[60],"evaluated.":[61],"experiments":[63],"are":[64],"performed":[65],"both":[67],"the":[68,75,107],"benchmarking":[69],"dataset":[70],"used":[71],"[1]":[73],"MIT":[76],"CBCL":[77],"dataset.":[78],"Both":[79],"can":[80],"be":[81],"publicly":[82],"accessed.":[83],"results":[86],"show":[87],"that":[88],"covariance":[90],"features":[91,101,111],"with":[92,102,112],"radial":[93],"basis":[94],"function":[95],"(RBF)":[96],"kernel":[97,104,114],"SVM":[98,105,115],"HOG":[100],"quadratic":[103,113],"outperform":[106],"combination":[108],"LRF":[110],"reported":[116],"[1].":[118]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}