{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:30:52Z","timestamp":1743139852105,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":33,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811073045"},{"type":"electronic","value":"9789811073052"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-981-10-7305-2_11","type":"book-chapter","created":{"date-parts":[[2017,12,7]],"date-time":"2017-12-07T16:16:54Z","timestamp":1512663414000},"page":"120-131","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Associated Metric Coding Network for Pedestrian Detection"],"prefix":"10.1007","author":[{"given":"Shuai","family":"Chen","sequence":"first","affiliation":[]},{"given":"Bo","family":"Ma","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,12,8]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Benenson, R., Mathias, M., Timofte, R., Van Gool, L.: Pedestrian detection at 100 frames per second. In: CVPR, pp. 2903\u20132910. IEEE (2012)","key":"11_CR1","DOI":"10.1109\/CVPR.2012.6248017"},{"doi-asserted-by":"crossref","unstructured":"Benenson, R., Mathias, M., Tuytelaars, T., Van Gool, L.: Seeking the strongest rigid detector. In: CVPR, pp. 3666\u20133673 (2013)","key":"11_CR2","DOI":"10.1109\/CVPR.2013.470"},{"key":"11_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1007\/978-3-319-16181-5_47","volume-title":"Computer Vision - ECCV 2014 Workshops","author":"R Benenson","year":"2015","unstructured":"Benenson, R., Omran, M., Hosang, J., Schiele, B.: Ten years of pedestrian detection, what have we learned? In: Agapito, L., Bronstein, M.M., Rother, C. (eds.) ECCV 2014. LNCS, vol. 8926, pp. 613\u2013627. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16181-5_47"},{"key":"11_CR4","first-page":"886","volume":"1","author":"N Dalal","year":"2005","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. CVPR 1, 886\u2013893 (2005)","journal-title":"CVPR"},{"issue":"8","key":"11_CR5","doi-asserted-by":"publisher","first-page":"1532","DOI":"10.1109\/TPAMI.2014.2300479","volume":"36","author":"P Doll\u00e1r","year":"2014","unstructured":"Doll\u00e1r, P., Appel, R., Belongie, S., Perona, P.: Fast feature pyramids for object detection. TPAMI 36(8), 1532\u20131545 (2014)","journal-title":"TPAMI"},{"doi-asserted-by":"crossref","unstructured":"Dollar, P., Tu, Z., Perona, P., Belongie, S.: Integral channel features. In: BMVC (2009)","key":"11_CR6","DOI":"10.5244\/C.23.91"},{"issue":"4","key":"11_CR7","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1109\/TPAMI.2011.155","volume":"34","author":"P Dollar","year":"2012","unstructured":"Dollar, P., Wojek, C., Schiele, B., Perona, P.: Pedestrian detection: an evaluation of the state of the art. TPAMI 34(4), 743\u2013761 (2012)","journal-title":"TPAMI"},{"doi-asserted-by":"crossref","unstructured":"Ess, A., Leibe, B., Van Gool, L.: Depth and appearance for mobile scene analysis. In: ICCV, pp. 1\u20138 (2007)","key":"11_CR8","DOI":"10.1109\/ICCV.2007.4409092"},{"key":"11_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1007\/978-3-319-10578-9_23","volume-title":"Computer Vision \u2013 ECCV 2014","author":"K He","year":"2014","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Spatial pyramid pooling in deep convolutional networks for visual recognition. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8691, pp. 346\u2013361. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10578-9_23"},{"doi-asserted-by":"crossref","unstructured":"Lim, J.J., Zitnick, C.L., Doll\u00e1r, P.: Sketch tokens: a learned mid-level representation for contour and object detection. In: CVPR, pp. 3158\u20133165 (2013)","key":"11_CR10","DOI":"10.1109\/CVPR.2013.406"},{"doi-asserted-by":"crossref","unstructured":"Luo, P., Tian, Y., Wang, X., Tang, X.: Switchable deep network for pedestrian detection. In: CVPR, pp. 899\u2013906 (2014)","key":"11_CR11","DOI":"10.1109\/CVPR.2014.120"},{"doi-asserted-by":"crossref","unstructured":"Murray, N., Perronnin, F.: Generalized max pooling. In: CVPR, pp. 2473\u20132480 (2014)","key":"11_CR12","DOI":"10.1109\/CVPR.2014.317"},{"unstructured":"Nair, V., Hinton, G.E.: Rectified linear units improve restricted Boltzmann machines. In: ICML, pp. 807\u2013814 (2010)","key":"11_CR13"},{"unstructured":"Nam, W., Doll\u00e1r, P., Han, J.H.: Local decorrelation for improved pedestrian detection. In: NIPS, pp. 424\u2013432 (2014)","key":"11_CR14"},{"unstructured":"Ouyang, W., Wang, X.: A discriminative deep model for pedestrian detection with occlusion handling. In: CVPR, pp. 3258\u20133265 (2012)","key":"11_CR15"},{"doi-asserted-by":"crossref","unstructured":"Ouyang, W., Wang, X.: Joint deep learning for pedestrian detection. In: ICCV, pp. 2056\u20132063 (2013)","key":"11_CR16","DOI":"10.1109\/ICCV.2013.257"},{"doi-asserted-by":"crossref","unstructured":"Ouyang, W., Zeng, X., Wang, X.: Modeling mutual visibility relationship in pedestrian detection. In: CVPR, pp. 3222\u20133229 (2013)","key":"11_CR17","DOI":"10.1109\/CVPR.2013.414"},{"doi-asserted-by":"crossref","unstructured":"Paisitkriangkrai, S., Shen, C.: Pedestrian detection with spatially pooled features and structured ensemble learning. In: TPAMI, pp. 1243\u20131257 (2016)","key":"11_CR18","DOI":"10.1109\/TPAMI.2015.2474388"},{"key":"11_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"546","DOI":"10.1007\/978-3-319-10593-2_36","volume-title":"Computer Vision \u2013 ECCV 2014","author":"S Paisitkriangkrai","year":"2014","unstructured":"Paisitkriangkrai, S., Shen, C., van den Hengel, A.: Strengthening the effectiveness of pedestrian detection with spatially pooled features. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8692, pp. 546\u2013561. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10593-2_36"},{"doi-asserted-by":"crossref","unstructured":"Park, D., Zitnick, C.L., Ramanan, D., Doll\u00e1r, P.: Exploring weak stabilization for motion feature extraction. In: CVPR, pp. 2882\u20132889 (2013)","key":"11_CR20","DOI":"10.1109\/CVPR.2013.371"},{"unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: TPAMI, p. 1 (2016)","key":"11_CR21"},{"doi-asserted-by":"crossref","unstructured":"Sermanet, P., Kavukcuoglu, K., Chintala, S., LeCun, Y.: Pedestrian detection with unsupervised multi-stage feature learning. In: CVPR, pp. 3626\u20133633 (2013)","key":"11_CR22","DOI":"10.1109\/CVPR.2013.465"},{"unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)","key":"11_CR23"},{"doi-asserted-by":"crossref","unstructured":"Tian, Y., Luo, P., Wang, X., Tang, X.: Pedestrian detection aided by deep learning semantic tasks. In: CVPR, pp. 5079\u20135087 (2015)","key":"11_CR24","DOI":"10.1109\/CVPR.2015.7299143"},{"issue":"2","key":"11_CR25","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1023\/B:VISI.0000013087.49260.fb","volume":"57","author":"P Viola","year":"2004","unstructured":"Viola, P., Jones, M.J.: Robust real-time face detection. IJCV 57(2), 137\u2013154 (2004)","journal-title":"IJCV"},{"issue":"2","key":"11_CR26","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1007\/s11263-005-6644-8","volume":"63","author":"P Viola","year":"2005","unstructured":"Viola, P., Jones, M.J., Snow, D.: Detecting pedestrians using patterns of motion and appearance. IJCV 63(2), 153\u2013161 (2005)","journal-title":"IJCV"},{"doi-asserted-by":"crossref","unstructured":"Wang, L., Ouyang, W., Wang, X., Lu, H.: Visual tracking with fully convolutional networks. In: ICCV, pp. 3119\u20133127 (2015)","key":"11_CR27","DOI":"10.1109\/ICCV.2015.357"},{"doi-asserted-by":"crossref","unstructured":"Wang, X., Han, T.X., Yan, S.: An HOG-LBP human detector with partial occlusion handling. In: ICCV, pp. 32\u201339. IEEE (2009)","key":"11_CR28","DOI":"10.1109\/ICCV.2009.5459207"},{"doi-asserted-by":"crossref","unstructured":"Yan, J., Zhang, X., Lei, Z., Liao, S., Li, S.Z.: Robust multi-resolution pedestrian detection in traffic scenes. In: CVPR, pp. 3033\u20133040 (2013)","key":"11_CR29","DOI":"10.1109\/CVPR.2013.390"},{"doi-asserted-by":"crossref","unstructured":"Yang, B., Yan, J., Lei, Z., Li, S.Z.: Convolutional channel features. In: ICCV, pp. 82\u201390 (2015)","key":"11_CR30","DOI":"10.1109\/ICCV.2015.18"},{"doi-asserted-by":"crossref","unstructured":"Yi Yang, Z.W., Wu, F.: Exploring prior knowledge for pedestrian detection. In: BMVC, pp. 1\u201312 (2015)","key":"11_CR31","DOI":"10.5244\/C.29.176"},{"key":"11_CR32","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1007\/978-3-319-46475-6_28","volume-title":"Computer Vision \u2013 ECCV 2016","author":"L Zhang","year":"2016","unstructured":"Zhang, L., Lin, L., Liang, X., He, K.: Is faster R-CNN doing well for pedestrian detection? In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9906, pp. 443\u2013457. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46475-6_28"},{"doi-asserted-by":"crossref","unstructured":"Zhang, S., Bauckhage, C., Cremers, A.B.: Informed Haar-like features improve pedestrian detection. In: CVPR, pp. 947\u2013954 (2014)","key":"11_CR33","DOI":"10.1109\/CVPR.2014.126"}],"container-title":["Communications in Computer and Information Science","Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-7305-2_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:22:52Z","timestamp":1709832172000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-10-7305-2_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9789811073045","9789811073052"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-7305-2_11","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"8 December 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CCF Chinese Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","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":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 October 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 October 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cccv2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ccf-cccv.org\/2017\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}