{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:46:55Z","timestamp":1743140815600,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":13,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811533075"},{"type":"electronic","value":"9789811533082"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-15-3308-2_29","type":"book-chapter","created":{"date-parts":[[2020,3,12]],"date-time":"2020-03-12T13:03:07Z","timestamp":1584018187000},"page":"253-261","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An Improved YOLOv3 Algorithm for Pedestrian Detection on UAV Imagery"],"prefix":"10.1007","author":[{"given":"Yulin","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baolong","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunpeng","family":"Zhi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,3,13]]},"reference":[{"key":"29_CR1","doi-asserted-by":"crossref","unstructured":"Zhang, S.S., Benenson, R., Omarn, M., Hosang, J.: How far are we from solving pedestrian detection. In: Proceedings IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA, pp. 1259\u20131267. IEEE Computer Society (2016)","DOI":"10.1109\/CVPR.2016.141"},{"key":"29_CR2","doi-asserted-by":"crossref","unstructured":"Benenson, R., Omarn, M., Hosang, J., Schiele, B.: Ten years of pedestrian detection, what have we learned? In: Proceedings European Conference on Computer Vision, Zurich, Switzerland, pp. 613\u2013627 (2014)","DOI":"10.1007\/978-3-319-16181-5_47"},{"key":"29_CR3","doi-asserted-by":"crossref","unstructured":"Shrestha, A., Mahmood, A.: Review of deep learning algorithms and architectures. IEEE Access 7, 53040\u201353065 (2019)","DOI":"10.1109\/ACCESS.2019.2912200"},{"key":"29_CR4","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y Lecun","year":"2015","unstructured":"Lecun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521, 436\u2013444 (2015)","journal-title":"Nature"},{"key":"29_CR5","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Ohio, USA, pp. 580\u2013587. IEEE Computer Society (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"29_CR6","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast R-CNN. In: 15th IEEE International Conference on Computer Vision, Santiago, Chile, pp. 1440\u20131448. Institute of Electrical and Electronics Engineers Inc. (2015)","DOI":"10.1109\/ICCV.2015.169"},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Ren, S.Q., He, K.M., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: Proceedings of the IEEE Transactions on Pattern Analysis and Machine Intelligence, Hawaii, HL, USA, vol. 39, pp. 1137\u20131149. IEEE Computer Society (2017)","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"29_CR8","unstructured":"Redmon, J., Farhadi, A.: YOLOv3: an incremental improvement. arXiv preprint \narXiv:1804.02767\n\n (2018)"},{"key":"29_CR9","unstructured":"Gao, H., Liu, Z., Van Der Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA, pp. 2261\u20132269. Institute of Electrical and Electronics Engineers Inc., (2017)"},{"key":"29_CR10","unstructured":"Arthur, D., Vassilvitskii, S.: k-means++: the advantages of careful seeding. In: 18th Annual ACM-SIAM Symposium on Discrete Algorithms, New Orleans, LA, USA, January 2007, pp. 1027\u20131035. Association for Computing Machinery (2007)"},{"key":"29_CR11","unstructured":"Redmon, J., Farhadi, A.: YOLO9000: better, faster, stronger. In: 30th IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA, January 2017, pp. 6517\u20136525. Institute of Electrical and Electronics Engineers Inc., (2017)"},{"key":"29_CR12","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA, December 2016, pp. 779\u2013788. IEEE Computer Society (2016)","DOI":"10.1109\/CVPR.2016.91"},{"key":"29_CR13","unstructured":"Bodla, N., Singh, B., Chellappa, R., Davis, L.S.: Soft-NMS-improving object detection with one line of code. In: Proceedings IEEE International Conference on Computer Vision, Venice, Italy, October 2017, pp. 5562\u20135570. Institute of Electrical and Electronics Engineers Inc., (2017)"}],"container-title":["Advances in Intelligent Systems and Computing","Genetic and Evolutionary Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-3308-2_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,12]],"date-time":"2020-03-12T21:18:55Z","timestamp":1584047935000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-3308-2_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811533075","9789811533082"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-3308-2_29","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"13 March 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICGEC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Genetic and Evolutionary Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Qingdao","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icgec2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bit.kuas.edu.tw\/~icgec19\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}