{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T09:01:53Z","timestamp":1725872513514},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319488899"},{"type":"electronic","value":"9783319488905"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-48890-5_13","type":"book-chapter","created":{"date-parts":[[2016,11,26]],"date-time":"2016-11-26T14:18:11Z","timestamp":1480169891000},"page":"130-140","source":"Crossref","is-referenced-by-count":0,"title":["Online Multi-Person Tracking Based on Metric Learning"],"prefix":"10.1007","author":[{"given":"Changyong","family":"Yu","sequence":"first","affiliation":[]},{"given":"Min","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Yanmei","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Mingtao","family":"Pei","sequence":"additional","affiliation":[]},{"given":"Yunde","family":"Jia","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,11,27]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Kuo, C.H., Nevatia, R.: How does person identity recognition help multi-person tracking? In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1217\u20131224. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995384"},{"issue":"2","key":"13_CR2","doi-asserted-by":"crossref","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. Int. J. Comput. Vis. 75(2), 247\u2013266 (2007)","journal-title":"Int. J. Comput. Vis."},{"issue":"10","key":"13_CR3","doi-asserted-by":"crossref","first-page":"1257","DOI":"10.1016\/j.cviu.2012.08.008","volume":"117","author":"F Poiesi","year":"2013","unstructured":"Poiesi, F., Mazzon, R., Cavallaro, A.: Multi-target tracking on confidence maps: an application to people tracking. Comput. Vis. Image Underst. 117(10), 1257\u20131272 (2013)","journal-title":"Comput. Vis. Image Underst."},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Davis, J.V., Kulis, B., Jain, P., et al.: Information-theoretic metric learning. In: Proceedings of the 24th International Conference on Machine learning, pp. 209\u2013216. ACM (2007)","DOI":"10.1145\/1273496.1273523"},{"key":"13_CR5","unstructured":"Leal-Taix, L., Milan, A., Reid, I., et al.: Motchallenge 2015: towards a benchmark for multi-target tracking. arXiv preprint arXiv:1504.01942 (2015)"},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"Ferryman, J., Shahrokni, A.: PETS2009: dataset and challenge. In: 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS-Winter), pp. 1\u20136. IEEE (2009)","DOI":"10.1109\/PETS-WINTER.2009.5399556"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Andriluka, M., Roth, S., Schiele, B.: Monocular 3D pose estimation and tracking by detection. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 623\u2013630. IEEE (2010)","DOI":"10.1109\/CVPR.2010.5540156"},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Ess, A., Leibe, B., Gool, L.V.: Depth and appearance for mobile scene analysis. In: IEEE 11th International Conference on Computer Vision, ICCV 2007, pp. 1\u20138. IEEE (2007)","DOI":"10.1109\/ICCV.2007.4409092"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Bae, S.H., Yoon, K.J.: Robust online multi-object tracking based on tracklet confidence and online discriminative appearance learning. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1218\u20131225. IEEE (2014)","DOI":"10.1109\/CVPR.2014.159"},{"issue":"5","key":"13_CR10","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1109\/TPAMI.2013.185","volume":"36","author":"A Geiger","year":"2014","unstructured":"Geiger, A., Lauer, M., Wojek, C., et al.: 3D traffic scene understanding from movable platforms. IEEE Trans. Pattern Anal. Mach. Intell. 36(5), 1012\u20131025 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Yang, B., Nevatia, R.: Multi-target tracking by online learning of non-linear motion patterns, robust appearance models. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1918\u20131925. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6247892"},{"issue":"9","key":"13_CR12","doi-asserted-by":"crossref","first-page":"1820","DOI":"10.1109\/TPAMI.2010.232","volume":"33","author":"MD Breitenstein","year":"2011","unstructured":"Breitenstein, M.D., Reichlin, F., Leibe, B., et al.: Online multiperson tracking-by-detection from a single, uncalibrated camera. IEEE Trans. Pattern Anal. Mach. Intell. 33(9), 1820\u20131833 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"13_CR13","doi-asserted-by":"crossref","first-page":"865","DOI":"10.1109\/TCSVT.2013.2291283","volume":"24","author":"Y Wu","year":"2014","unstructured":"Wu, Y., Ma, B., Yang, M., et al.: Metric learning based structural appearance model for robust visual tracking. IEEE Trans. Circuits Syst. Video Technol. 24(5), 865\u2013877 (2014)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Yoon, J.H., Yang, M.H., Lim, J., et al.: Bayesian multi-object tracking using motion context from multiple objects. In: 2015 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 33\u201340. IEEE (2015)","DOI":"10.1109\/WACV.2015.12"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Yang, M., Jia, Y.: Temporal dynamic appearance modeling for online multi-person tracking. In: Computer Vision and Image Understanding (2016)","DOI":"10.1016\/j.cviu.2016.05.003"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"Dicle, C., Camps, O., Sznaier, M.: The way they move: tracking multiple targets with similar appearance. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2304\u20132311 (2013)","DOI":"10.1109\/ICCV.2013.286"},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Solera, F., Calderara, S., Cucchiara, R.: Learning to divide and conquer for online multi-target tracking. In: International Conference on Computer Vision (ICCV), pp. 4373\u20134381 (2015)","DOI":"10.1109\/ICCV.2015.497"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Possegger, H., Mauthner, T., Roth, P., et al.: Occlusion geodesics for online multi-object tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 1306\u20131313 (2014)","DOI":"10.1109\/CVPR.2014.170"},{"issue":"8","key":"13_CR19","doi-asserted-by":"crossref","first-page":"1532","DOI":"10.1109\/TPAMI.2014.2300479","volume":"36","author":"P Dollr","year":"2014","unstructured":"Dollr, P., Appel, R., Belongie, S., et al.: Fast feature pyramids for object detection. IEEE Trans. Pattern Anal. Mach. Intell. 36(8), 1532\u20131545 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"13_CR20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11432-014-5177-6","volume":"58","author":"M Yang","year":"2015","unstructured":"Yang, M., Pei, M.T., Wu, Y.W., et al.: Learning online structural appearance model for robust object tracking. Sci. China Inf. Sci. 58(3), 1\u201314 (2015)","journal-title":"Sci. China Inf. Sci."},{"key":"13_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1007\/978-3-319-26532-2_69","volume-title":"Neural Information Processing","author":"M Yang","year":"2015","unstructured":"Yang, M., Pei, M., Shen, J., Jia, Y.: Robust online multi-object tracking by maximum a posteriori estimation with sequential trajectory prior. In: Arik, S., Huang, T., Lai, W.K., Liu, Q. (eds.) ICONIP 2015. LNCS, vol. 9489, pp. 623\u2013633. Springer, Heidelberg (2015). doi: 10.1007\/978-3-319-26532-2_69"},{"key":"13_CR22","doi-asserted-by":"crossref","unstructured":"Wang, B., Wang, G., Chan, K., et al.: Tracklet association with online target-specific metric learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1234\u20131241 (2014)","DOI":"10.1109\/CVPR.2014.161"}],"container-title":["Lecture Notes in Computer Science","Advances in Multimedia Information Processing - PCM 2016"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-48890-5_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,25]],"date-time":"2017-06-25T04:33:47Z","timestamp":1498365227000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-48890-5_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319488899","9783319488905"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-48890-5_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}