{"id":"https://openalex.org/W2125447928","doi":"https://doi.org/10.1145/2632856.2632920","title":"Railway region detection based on Haar-like features","display_name":"Railway region detection based on Haar-like features","publication_year":2014,"publication_date":"2014-07-10","ids":{"openalex":"https://openalex.org/W2125447928","doi":"https://doi.org/10.1145/2632856.2632920","mag":"2125447928"},"language":"en","primary_location":{"id":"doi:10.1145/2632856.2632920","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2632856.2632920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Internet Multimedia Computing and Service","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/A5052217154","display_name":"Teng Zhu","orcid":"https://orcid.org/0000-0002-1754-4878"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhu Teng","raw_affiliation_strings":["Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing, China, 0086-10-5168-5600","Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing, China, 0086-10-5168-5600#TAB#"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing, China, 0086-10-5168-5600","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing, China, 0086-10-5168-5600#TAB#","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054557971","display_name":"Baopeng Zhang","orcid":"https://orcid.org/0000-0003-2592-2354"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baopeng Zhang","raw_affiliation_strings":["Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing, China, 0086-10-5168-5600","Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing, China, 0086-10-5168-5600#TAB#"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing, China, 0086-10-5168-5600","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing, China, 0086-10-5168-5600#TAB#","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100610450","display_name":"Feng Liu","orcid":"https://orcid.org/0000-0002-4554-8307"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Liu","raw_affiliation_strings":["Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing, China, 0086-10-5168-3260"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, Beijing, China, 0086-10-5168-3260","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052217154"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16282774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"121","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/obstacle","display_name":"Obstacle","score":0.9061098098754883},{"id":"https://openalex.org/keywords/haar","display_name":"Haar","score":0.7648552656173706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6616028547286987},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5581000447273254},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5476719737052917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5181640386581421},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.5166230797767639},{"id":"https://openalex.org/keywords/accident","display_name":"Accident (philosophy)","score":0.43209218978881836},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.39761221408843994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33910784125328064},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0921749472618103}],"concepts":[{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.9061098098754883},{"id":"https://openalex.org/C187029792","wikidata":"https://www.wikidata.org/wiki/Q2179112","display_name":"Haar","level":3,"score":0.7648552656173706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6616028547286987},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5581000447273254},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5476719737052917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5181640386581421},{"id":"https://openalex.org/C123134398","wikidata":"https://www.wikidata.org/wiki/Q2493819","display_name":"Haar-like features","level":5,"score":0.5166230797767639},{"id":"https://openalex.org/C2780289543","wikidata":"https://www.wikidata.org/wiki/Q424630","display_name":"Accident (philosophy)","level":2,"score":0.43209218978881836},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.39761221408843994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33910784125328064},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0921749472618103},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"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/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2632856.2632920","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2632856.2632920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1971602359","https://openalex.org/W2054566720","https://openalex.org/W2091622218","https://openalex.org/W2115763357","https://openalex.org/W2119821739","https://openalex.org/W2120784409","https://openalex.org/W2126516862","https://openalex.org/W2129781542","https://openalex.org/W2134963432","https://openalex.org/W2139730689","https://openalex.org/W2153635508","https://openalex.org/W2156686129","https://openalex.org/W2157745573","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2167579762","https://openalex.org/W2215011104","https://openalex.org/W2539604081"],"related_works":["https://openalex.org/W1607467862","https://openalex.org/W3209088864","https://openalex.org/W2117663547","https://openalex.org/W2189543299","https://openalex.org/W2601940879","https://openalex.org/W1487622392","https://openalex.org/W3154833188","https://openalex.org/W2351917144","https://openalex.org/W2088542616","https://openalex.org/W2428917179"],"abstract_inverted_index":{"Safety":[0],"is":[1,17,41,56,78,93],"one":[2],"of":[3,83],"the":[4,14,18,51,90],"most":[5,19],"significant":[6],"issues":[7],"in":[8],"railway":[9,15,38,60,70,98],"operations,":[10],"and":[11,44,62,86],"obstacle":[12,48],"on":[13,50,80],"regions":[16,71],"frequent":[20],"reason":[21],"why":[22],"an":[23,94],"accident":[24],"takes":[25],"place.":[26],"In":[27],"this":[28],"paper,":[29],"we":[30,63],"present":[31],"a":[32,42,81],"learning":[33],"based":[34],"algorithm":[35],"to":[36,58,68,97],"detect":[37],"regions,":[39,61],"which":[40],"fundamental":[43],"necessary":[45],"research":[46],"for":[47],"detection":[49],"railway.":[52],"A":[53],"Haar-like":[54],"feature":[55],"proposed":[57,76,91],"describe":[59],"employ":[64],"Support":[65],"Vector":[66],"Machine":[67],"classify":[69],"from":[72],"non-railway":[73],"regions.":[74],"The":[75],"method":[77,92],"evaluated":[79],"number":[82],"challenging":[84],"images":[85],"experiments":[87],"demonstrate":[88],"that":[89],"effective":[95],"solution":[96],"region":[99],"detection.":[100]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
