{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T14:20:47Z","timestamp":1780755647313,"version":"3.54.1"},"reference-count":8,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2024,11,1]]},"DOI":"10.1587\/transinf.2024edl8011","type":"journal-article","created":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T22:12:05Z","timestamp":1720649525000},"page":"1468-1471","source":"Crossref","is-referenced-by-count":8,"title":["SH-YOLO: Small Target High Performance YOLO for Abnormal Behavior Detection in Escalator Scene"],"prefix":"10.1587","volume":"E107.D","author":[{"given":"Shuoyan","family":"LIU","sequence":"first","affiliation":[{"name":"China Academy of Railway Sciences Corporation Limited"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"LI","sequence":"additional","affiliation":[{"name":"China Academy of Railway Sciences Corporation Limited"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxin","family":"LIU","sequence":"additional","affiliation":[{"name":"China Academy of Railway Sciences Corporation Limited"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanqiu","family":"WANG","sequence":"additional","affiliation":[{"name":"School of Electronic Information Engineering, Beijing Jiaotong University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"532","reference":[{"key":"1","unstructured":"[1] Z. Yin, X. Wang, and L. Li. \u201cOptimization of human body attitude detection based on mask RCNN,\u201d Proc. Int. Conf. on Orange Technology, pp.18-21, 2020. 10.1109\/ICOT51877.2020.9468723"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] R. Girshick, J. Donahue, T. Darrell, and J. Malik, \u201cRich feature hierarchies for accurate object detection and semantic segmentation,\u201d Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp.580-587, 2014. 10.1109\/cvpr.2014.81","DOI":"10.1109\/CVPR.2014.81"},{"key":"3","unstructured":"[3] Q. Liu, Z. Zhao, J. Wang, et al., \u201cHigh performance YOLOv5: Research on high performance object detection algorithms for embedded platforms,\u201d Journal of Electronics and Information Science, vol.45, no.6, pp.2205-2215, 2023."},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, \u201cYou only look once: Unified, real-time object detection,\u201d Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp.770-788, 2016. 10.1109\/CVPR.2016.91","DOI":"10.1109\/CVPR.2016.91"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] J. Chen, X. Wang, Z. Guo, X. Zhang, and J. Sun, \u201cDynamic region-aware convolution,\u201d Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp.8060-8069, 2021. 10.1109\/cvpr46437.2021.00797","DOI":"10.1109\/CVPR46437.2021.00797"},{"key":"6","unstructured":"[6] D. Xiao, M. Wang, L. Zhao, et al., \u201cDual ASPP for lightweight semantic segmentation on high-resolution image,\u201d Proc. International Symposium on Computational Intelligence and Industrial Applications (ISCIIA), pp.1-6, 2020."},{"key":"7","unstructured":"[7] F. Yu and V. Koltun. \u201cMulti-scale context aggregation by dilated convolutions,\u201d Proc. IEEE Int. Conf. on Learning Representations, pp.1-13, 2015."},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] J. Cheng, J. Yuan, X. Hu, B. Xie, and M. Zhang, \u201cLightweight model of remote sensing ship classification based on YOLOv7-tiny improvement,\u201d Journal of Physics: Conference Series, vol.2666, 012023, 2023. 10.1088\/1742-6596\/2666\/1\/012023","DOI":"10.1088\/1742-6596\/2666\/1\/012023"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E107.D\/11\/E107.D_2024EDL8011\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,2]],"date-time":"2024-11-02T03:43:17Z","timestamp":1730518997000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E107.D\/11\/E107.D_2024EDL8011\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,1]]},"references-count":8,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2024edl8011","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,1]]},"article-number":"2024EDL8011"}}