{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:42:06Z","timestamp":1772908926900,"version":"3.50.1"},"publisher-location":"Cham","reference-count":39,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030208899","type":"print"},{"value":"9783030208905","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-20890-5_39","type":"book-chapter","created":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T11:18:34Z","timestamp":1559387914000},"page":"612-628","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Customized Multi-person Tracker"],"prefix":"10.1007","author":[{"given":"Liqian","family":"Ma","sequence":"first","affiliation":[]},{"given":"Siyu","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Michael J.","family":"Black","sequence":"additional","affiliation":[]},{"given":"Luc","family":"Van Gool","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,2]]},"reference":[{"issue":"1","key":"39_CR1","first-page":"1","volume":"2008","author":"K Bernardin","year":"2008","unstructured":"Bernardin, K., Stiefelhagen, R.: Evaluating multiple object tracking performance: the CLEAR MOT metrics. Image Video Process. 2008(1), 1\u201310 (2008)","journal-title":"Image Video Process."},{"issue":"9","key":"39_CR2","doi-asserted-by":"publisher","first-page":"1820","DOI":"10.1109\/TPAMI.2010.232","volume":"33","author":"MD Breitenstein","year":"2011","unstructured":"Breitenstein, M.D., Reichlin, F., Leibe, B., Koller-Meier, E., Van Gool, L.: Online multiperson tracking-by-detection from a single, uncalibrated camera. TPAMI 33(9), 1820\u20131833 (2011)","journal-title":"TPAMI"},{"key":"39_CR3","doi-asserted-by":"crossref","unstructured":"Brendel, W., Amer, M., Todorovic, S.: Multiobject tracking as maximum weight independent set. In: CVPR, pp. 1273\u20131280. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995395"},{"issue":"4","key":"39_CR4","first-page":"669","volume":"7","author":"J Bromley","year":"1993","unstructured":"Bromley, J., et al.: Signature verification using a \u201csiamese\u201d time delay neural network. IJPRAI 7(4), 669\u2013688 (1993)","journal-title":"IJPRAI"},{"key":"39_CR5","doi-asserted-by":"crossref","unstructured":"Charles, J., Pfister, T., Magee, D., Hogg, D., Zisserman, A.: Personalizing human video pose estimation. In: CVPR, pp. 3063\u20133072. IEEE, Las Vegas (2016)","DOI":"10.1109\/CVPR.2016.334"},{"key":"39_CR6","doi-asserted-by":"crossref","unstructured":"Choi, W.: Near-online multi-target tracking with aggregated local flow descriptor. In: ICCV, pp. 3029\u20133037. IEEE, Santiago (2015)","DOI":"10.1109\/ICCV.2015.347"},{"key":"39_CR7","unstructured":"Chopra, S., Hadsell, R., LeCun, Y.: Learning a similarity metric discriminatively, with application to face verification. In: CVPR, pp. 539\u2013546. IEEE, San Diego (2005)"},{"key":"39_CR8","doi-asserted-by":"crossref","unstructured":"Dehghan, A., Tian, Y., Torr, P.H.S., Shah, M.: Target identity-aware network flow for online multiple target tracking. In: CVPR, pp. 1146\u20131154. IEEE, Boston (2015)","DOI":"10.1109\/CVPR.2015.7298718"},{"issue":"1","key":"39_CR9","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/BF01589097","volume":"45","author":"M Gr\u00f6tschel","year":"1989","unstructured":"Gr\u00f6tschel, M., Wakabayashi, Y.: A cutting plane algorithm for a clustering problem. Math. Program. 45(1), 59\u201396 (1989)","journal-title":"Math. Program."},{"key":"39_CR10","doi-asserted-by":"crossref","unstructured":"Henschel, R., Leal-Taix\u00e9, L., Cremers, D., Rosenhahn, B.: Fusion of head and full-body detectors for multi-object tracking. In: CVPRW, pp. 1541\u20131550. IEEE, Salt Lake City (2018)","DOI":"10.1109\/CVPRW.2018.00192"},{"key":"39_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1007\/978-3-540-88688-4_58","volume-title":"Computer Vision \u2013 ECCV 2008","author":"C Huang","year":"2008","unstructured":"Huang, C., Wu, B., Nevatia, R.: Robust object tracking by hierarchical association of detection responses. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 788\u2013801. Springer, Heidelberg (2008). \n                      https:\/\/doi.org\/10.1007\/978-3-540-88688-4_58"},{"key":"39_CR12","doi-asserted-by":"crossref","unstructured":"Keuper, M., Levinkov, E., Bonneel, N., Lavoue, G., Brox, T., Andres, B.: Efficient decomposition of image and mesh graphs by lifted multicuts. In: ICCV, Santiago, pp. 1751\u20131759 (2015)","DOI":"10.1109\/ICCV.2015.204"},{"key":"39_CR13","doi-asserted-by":"crossref","unstructured":"Kim, C., Li, F., Ciptadi, A., Rehg, J.M.: Multiple hypothesis tracking revisited. In: ICCV, pp. 4696\u20134704. IEEE, Santiago (2015)","DOI":"10.1109\/ICCV.2015.533"},{"key":"39_CR14","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. In: ICLR, San Diego, pp. 13\u201323 (2015)"},{"key":"39_CR15","doi-asserted-by":"crossref","unstructured":"Kuo, C.H., Huang, C., Nevatia, R.: Multi-target tracking by on-line learned discriminative appearance models. In: CVPR, pp. 685\u2013692. IEEE, San Francisco (2010)","DOI":"10.1109\/CVPR.2010.5540148"},{"key":"39_CR16","unstructured":"Leal-Taix\u00e9, L., Milan, A., Reid, I., Roth, S., Schindler, K.: MOTChallenge 2015: towards a benchmark for multi-target tracking. \n                      arXiv:1504.01942"},{"key":"39_CR17","doi-asserted-by":"crossref","unstructured":"Leal-Taix\u00e9, L., Canton-Ferrer, C., Schindler, K.: Learning by tracking: Siamese CNN for robust target association. In: CVPRW, pp. 418\u2013425. IEEE, Las Vegas (2016)","DOI":"10.1109\/CVPRW.2016.59"},{"key":"39_CR18","doi-asserted-by":"crossref","unstructured":"Levinkov, E., et al.: Joint graph decomposition & node labeling: problem, algorithms, applications. In: CVPR, pp. 1904\u20131912. IEEE, Honolulu (2017)","DOI":"10.1109\/CVPR.2017.206"},{"key":"39_CR19","unstructured":"Long, C., Haizhou, A., Zijie, Z., Chong, S.: Real-time multiple people tracking with deeply learned candidate selection and person re-identification. In: ICME, pp. 1\u20136. IEEE, San Diego (2018)"},{"key":"39_CR20","doi-asserted-by":"crossref","unstructured":"Ma, C., et al.: Trajectory factory: tracklet cleaving and re-connection by deep Siamese Bi-GRU for multiple object tracking. In: ICME, pp. 1\u20136. IEEE, San Diego (2018)","DOI":"10.1109\/ICME.2018.8486454"},{"issue":"1","key":"39_CR21","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1109\/TPAMI.2013.103","volume":"36","author":"A Milan","year":"2014","unstructured":"Milan, A., Roth, S., Schindler, K.: Continuous energy minimization for multitarget tracking. TPAMI 36(1), 58\u201372 (2014)","journal-title":"TPAMI"},{"key":"39_CR22","unstructured":"Milan, A., Leal-Taix\u00e9, L., Reid, I.D., Roth, S., Schindler, K.: MOT16: a benchmark for multi-object tracking (2016). \n                      arXiv:1603.00831"},{"key":"39_CR23","doi-asserted-by":"crossref","unstructured":"Pirsiavash, H., Ramanan, D., Fowlkes, C.C.: Globally-optimal greedy algorithms for tracking a variable number of objects. In: CVPR, pp. 1201\u20131208. IEEE, Colorado Springs (2011)","DOI":"10.1109\/CVPR.2011.5995604"},{"issue":"3","key":"39_CR24","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1007\/s11263-016-0908-3","volume":"120","author":"J Revaud","year":"2016","unstructured":"Revaud, J., Weinzaepfel, P., Harchaoui, Z., Schmid, C.: Deepmatching: hierarchical deformable dense matching. IJCV 120(3), 300\u2013323 (2016)","journal-title":"IJCV"},{"key":"39_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/978-3-319-48881-3_2","volume-title":"Computer Vision \u2013 ECCV 2016 Workshops","author":"E Ristani","year":"2016","unstructured":"Ristani, E., Solera, F., Zou, R., Cucchiara, R., Tomasi, C.: Performance measures and a data set for\u00a0multi-target, multi-camera tracking. In: Hua, G., J\u00e9gou, H. (eds.) ECCV 2016, Part II. LNCS, vol. 9914, pp. 17\u201335. Springer, Cham (2016). \n                      https:\/\/doi.org\/10.1007\/978-3-319-48881-3_2"},{"key":"39_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1007\/978-3-319-16814-2_29","volume-title":"Computer Vision \u2013 ACCV 2014","author":"E Ristani","year":"2015","unstructured":"Ristani, E., Tomasi, C.: Tracking multiple people online and in real time. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014, Part V. LNCS, vol. 9007, pp. 444\u2013459. Springer, Cham (2015). \n                      https:\/\/doi.org\/10.1007\/978-3-319-16814-2_29"},{"key":"39_CR27","unstructured":"Shitrit, H.B., Berclaz, J., Fleuret, F., Fua, P.: Tracking multiple people under global appearance constraints. In: ICCV, pp. 137\u2013144. IEEE, Spain (2011)"},{"key":"39_CR28","unstructured":"Sun, Y., Chen, Y., Wang, X., Tang, X.: Deep learning face representation by joint identification-verification. In: NIPS, Montreal, pp. 1988\u20131996 (2014)"},{"key":"39_CR29","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In: CVPR, pp. 1\u20139. IEEE, Boston (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"39_CR30","doi-asserted-by":"crossref","unstructured":"Tang, S., Andres, B., Andriluka, M., Schiele, B.: Subgraph decomposition for multi-target tracking. In: CVPR, pp. 5033\u20135041. IEEE, Boston (2015)","DOI":"10.1109\/CVPR.2015.7299138"},{"key":"39_CR31","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1007\/978-3-319-48881-3_8","volume-title":"Computer Vision \u2013 ECCV 2016 Workshops","author":"S Tang","year":"2016","unstructured":"Tang, S., Andres, B., Andriluka, M., Schiele, B.: Multi-person tracking by multicut and deep matching. In: Hua, G., J\u00e9gou, H. (eds.) ECCV 2016, Part II. LNCS, vol. 9914, pp. 100\u2013111. Springer, Cham (2016). \n                      https:\/\/doi.org\/10.1007\/978-3-319-48881-3_8"},{"key":"39_CR32","doi-asserted-by":"crossref","unstructured":"Tang, S., Andriluka, M., Andres, B., Schiele, B.: Multiple people tracking by lifted multicut and person re-identification. In: CVPR, pp. 3701\u20133710. IEEE, Honolulu (2017)","DOI":"10.1109\/CVPR.2017.394"},{"issue":"1","key":"39_CR33","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1007\/s11263-013-0664-6","volume":"110","author":"S Tang","year":"2014","unstructured":"Tang, S., Andriluka, M., Schiele, B.: Detection and tracking of occluded people. IJCV 110(1), 58\u201369 (2014)","journal-title":"IJCV"},{"issue":"11","key":"39_CR34","doi-asserted-by":"publisher","first-page":"2312","DOI":"10.1109\/TPAMI.2015.2513406","volume":"38","author":"X Wang","year":"2016","unstructured":"Wang, X., Turetken, E., Fleuret, F., Fua, P.: Tracking interacting objects using intertwined flows. TPAMI 38(11), 2312\u20132326 (2016)","journal-title":"TPAMI"},{"issue":"2","key":"39_CR35","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/s11263-006-0027-7","volume":"75","author":"B Wu","year":"2007","unstructured":"Wu, B., Nevatia, R.: Detection and tracking of multiple, partially occluded humans by Bayesian combination of edgelet based part detectors. IJCV 75(2), 247\u2013266 (2007)","journal-title":"IJCV"},{"key":"39_CR36","doi-asserted-by":"crossref","unstructured":"Xiang, Y., Alahi, A., Savarese, S.: Learning to track: online multi-object tracking by decision making. In: ICCV, pp. 4705\u20134713. IEEE, Santiago (2015)","DOI":"10.1109\/ICCV.2015.534"},{"key":"39_CR37","doi-asserted-by":"crossref","unstructured":"Yi, D., Lei, Z., Liao, S., Li, S.Z.: Deep metric learning for person re-identification. In: ICPR, pp. 34\u201339. IEEE, Stockholm (2014)","DOI":"10.1109\/ICPR.2014.16"},{"key":"39_CR38","unstructured":"Zhang, L., Li, Y., Nevatia, R.: Global data association for multi-object tracking using network flows. In: CVPR. IEEE (2008)"},{"key":"39_CR39","doi-asserted-by":"crossref","unstructured":"Zheng, L., Shen, L., Tian, L., Wang, S., Wang, J., Tian, Q.: Scalable person re-identification: a benchmark. In: ICCV, pp. 1116\u20131124. IEEE, Santiago (2015)","DOI":"10.1109\/ICCV.2015.133"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ACCV 2018"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20890-5_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T11:27:02Z","timestamp":1559388422000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20890-5_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030208899","9783030208905"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20890-5_39","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"2 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Perth, WA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"accv2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/accv2018.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"979","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"274","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"28% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"2.7","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}