{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T19:42:20Z","timestamp":1729626140211,"version":"3.28.0"},"reference-count":23,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.23919\/spa.2017.8166857","type":"proceedings-article","created":{"date-parts":[[2017,12,7]],"date-time":"2017-12-07T18:30:11Z","timestamp":1512671411000},"page":"160-165","source":"Crossref","is-referenced-by-count":10,"title":["Efficient pedestrian detection with enhanced object segmentation in far IR night vision"],"prefix":"10.23919","author":[{"given":"Karol","family":"Piniarski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pawel","family":"Pawlowski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/j.infrared.2010.09.006","article-title":"Detection of pedestrians in far-infrared automotive night vision using region-growing and clothing distortion compensation","volume":"53","author":"o'malley","year":"2010","journal-title":"Infrared Physics & Technology"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2004.834875"},{"key":"ref12","first-page":"15","article-title":"Probabilistic template based pedestrian detection in infrared videos","volume":"1","author":"nanda","year":"2002","journal-title":"Proc of IEEE Intelligent Vehicle Symposium"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2005.1505072"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IST.2012.6295596"},{"key":"ref16","first-page":"104","article-title":"Pedestrian Detection by Video Processing in Automotive Night Vision System","author":"piniarski","year":"2014","journal-title":"Proc of IEEE SPA Algorithms Architectures Arrangements and Applications Conf"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.3390\/s16060820","article-title":"Pedestrian Detection at Day\/Night Time with Visible and FIR Cameras: A Comparison","author":"gonzalez","year":"2016","journal-title":"Sensors Journal (Sensors)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.12921\/cmst.2015.21.03.005"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SPA.2015.7365157"},{"key":"ref4","first-page":"596","author":"shimizu","year":"2004","journal-title":"Direction estimation of pedestrian from multiple still images"},{"key":"ref3","first-page":"1","author":"shashua","year":"2004","journal-title":"Pedestrian detection for driving assistance systems single-frame classification and system level performance"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1049\/cp:19971024"},{"key":"ref5","first-page":"23","article-title":"Infrared stereo vision-based human shape detection","author":"bertozzi","year":"2005","journal-title":"Proc of IEEE Intelligent Vehicles Symposium"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2003.1212962"},{"key":"ref2","article-title":"Basic Fact Sheet: Pedestrians","author":"pace","year":"2012","journal-title":"Deliverable D3 9 of the EC FP7 project DaCoTA"},{"key":"ref1","first-page":"1","article-title":"Basic Fact Sheet: Seasonality","volume":"4","author":"broughton","year":"2012","journal-title":"Deliverable D3 9 of the EC FP7 project DaCoTA"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.10.009"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/SPA.2016.7763622"},{"key":"ref22","first-page":"2553","article-title":"Deep neural networks for object detection","author":"szegedy","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref21","first-page":"374","article-title":"A neural network approach to pedestrian detection","author":"neagoe","year":"2009","journal-title":"Proc of ICCOMP"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.155"}],"event":{"name":"2017 Signal Processing: Algorithms, Architectures, Arrangements and Applications (SPA)","start":{"date-parts":[[2017,9,20]]},"location":"Poznan","end":{"date-parts":[[2017,9,22]]}},"container-title":["2017 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8119307\/8166822\/08166857.pdf?arnumber=8166857","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,7]],"date-time":"2019-10-07T13:38:47Z","timestamp":1570455527000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8166857\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":23,"URL":"https:\/\/doi.org\/10.23919\/spa.2017.8166857","relation":{},"subject":[],"published":{"date-parts":[[2017,9]]}}}