{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T19:10:01Z","timestamp":1750360201220,"version":"3.41.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,6,17]],"date-time":"2017-06-17T00:00:00Z","timestamp":1497657600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"National Natural Science Foundation of China (CN)","award":["61201396","61301296"],"award-info":[{"award-number":["61201396","61301296"]}]},{"name":"National Natural Science Foundation of China (CN)","award":["61377006","U1201255"],"award-info":[{"award-number":["61377006","U1201255"]}]},{"DOI":"10.13039\/501100003995","name":"Anhui Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["1508085MF120"],"award-info":[{"award-number":["1508085MF120"]}],"id":[{"id":"10.13039\/501100003995","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Scientific Research Foundation for the Returned Overseas Chinese Scholars"},{"name":"State Education Ministry and Technology Foundation for Selected Overseas Chinese Scholar"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2018,1]]},"DOI":"10.1007\/s11760-017-1127-2","type":"journal-article","created":{"date-parts":[[2017,6,17]],"date-time":"2017-06-17T13:53:56Z","timestamp":1497707636000},"page":"33-40","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Visual tracking with genetic algorithm augmented logistic regression"],"prefix":"10.1007","volume":"12","author":[{"given":"Lei","family":"Qu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0808-7708","authenticated-orcid":false,"given":"Guoqiang","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baochen","family":"Yao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuzhen","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,6,17]]},"reference":[{"issue":"7","key":"1127_CR1","doi-asserted-by":"crossref","first-page":"1772","DOI":"10.1016\/j.patcog.2012.10.006","volume":"46","author":"S Zhang","year":"2013","unstructured":"Zhang, S., Yao, H., Sun, X., et al.: Sparse coding based visual tracking: review and experimental comparison. Pattern Recogn. 46(7), 1772\u20131788 (2013)","journal-title":"Pattern Recogn."},{"issue":"1","key":"1127_CR2","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.neucom.2011.11.031","volume":"100","author":"S Zhang","year":"2013","unstructured":"Zhang, S., Yao, H., Zhou, H., et al.: Robust visual tracking based on online learning sparse representation. Neurocomputing 100(1), 31\u201340 (2013)","journal-title":"Neurocomputing"},{"key":"1127_CR3","doi-asserted-by":"publisher","unstructured":"Chen, D., Yuan, Z., Hua, G., et al.: Description-discrimination collaborative tracking. In: Fleet D., Pajdla T., Schiele B., Tuytelaars T. (eds.) Computer Vision \u2013 ECCV 2014. ECCV 2014. Lecture Notes in Computer Science, vol. 8689, pp. 345\u2013360. Springer, Cham (2014). doi: 10.1007\/978-3-319-10590-1_23","DOI":"10.1007\/978-3-319-10590-1_23"},{"key":"1127_CR4","doi-asserted-by":"publisher","unstructured":"Gao, J., Ling, H., Hu, W., et al.: Transfer learning based visual tracking with Gaussian processes regression. In: Fleet D., Pajdla T., Schiele B., Tuytelaars T. (eds.) Computer Vision \u2013 ECCV 2014. ECCV 2014. Lecture Notes in Computer Science, vol. 8691, pp 188\u2013203. Springer, Cham (2014). doi: 10.1007\/978-3-319-10578-9_13","DOI":"10.1007\/978-3-319-10578-9_13"},{"issue":"5","key":"1127_CR5","doi-asserted-by":"crossref","first-page":"1510","DOI":"10.1109\/TIP.2015.2405479","volume":"24","author":"Y Wu","year":"2015","unstructured":"Wu, Y., Pei, M., Yang, M., et al.: Robust discriminative tracking via landmark-based label propagation. IEEE Trans. Image Process. Publ. IEEE Signal Process. Soc. 24(5), 1510\u20131523 (2015)","journal-title":"IEEE Trans. Image Process. Publ. IEEE Signal Process. Soc."},{"key":"1127_CR6","doi-asserted-by":"publisher","unstructured":"Li, Y., Zhu, J.: A scale adaptive kernel correlation filter tracker with feature integration. In: Agapito L., Bronstein M., Rother C. (eds.) Computer Vision \u2013 ECCV 2014 Workshops. ECCV 2014. Lecture Notes in Computer Science, vol. 8926, pp. 254\u2013265. Springer, Cham (2015). doi: 10.1007\/978-3-319-16181-5_18","DOI":"10.1007\/978-3-319-16181-5_18"},{"key":"1127_CR7","doi-asserted-by":"crossref","unstructured":"Danelljan, M., Hager, G., Khan, F., Felsberg, M.: Accurate scale estimation for robust visual tracking. British machine vision conference, 65.1\u201365.11. (2014)","DOI":"10.5244\/C.28.65"},{"key":"1127_CR8","doi-asserted-by":"crossref","unstructured":"Hare, S,, Saffari, A., Torr, P.H.S.,: Struck: structured output tracking with kernels, IEEE international conference on computer vision. pp. 263\u2013270. (2012)","DOI":"10.1109\/ICCV.2011.6126251"},{"issue":"7","key":"1127_CR9","doi-asserted-by":"crossref","first-page":"1409","DOI":"10.1109\/TPAMI.2011.239","volume":"34","author":"Z Kalal","year":"2012","unstructured":"Kalal, Z., Mikolajczyk, K., Matas, J.: Tracking learning detection. TPAMI 34(7), 1409\u20131422 (2012)","journal-title":"TPAMI"},{"issue":"3","key":"1127_CR10","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1109\/TPAMI.2014.2345390","volume":"37","author":"JF Henriques","year":"2014","unstructured":"Henriques, J.F., Rui, C., Martins, P., et al.: High-speed tracking with kernelized correlation filters. IEEE Trans. Pattern Anal. Mach. Intell. 37(3), 583 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1127_CR11","doi-asserted-by":"publisher","unstructured":"Zhang, J., Ma, S., Sclaroff, S.: MEEM: Robust tracking via multiple experts using entropy minimization. In: Fleet D., Pajdla T., Schiele B., Tuytelaars T. (eds.) Computer Vision \u2013 ECCV 2014. ECCV 2014. Lecture Notes in Computer Science, vol. 8694, pp 188\u2013203. Springer, Cham (2014). doi: 10.1007\/978-3-319-10599-4_13","DOI":"10.1007\/978-3-319-10599-4_13"},{"key":"1127_CR12","unstructured":"Lee, D.-Y., Sim, J.-Y., Kim, C.-S.: Multihupothesis trajectory analysis for robust visual tracking. In: CVPR, (2015)"},{"issue":"11","key":"1127_CR13","doi-asserted-by":"crossref","first-page":"1749","DOI":"10.1109\/TCSVT.2015.2406194","volume":"25","author":"S Zhang","year":"2015","unstructured":"Zhang, S., Zhou, H., Jiang, F., et al.: Robust visual tracking using structurally random projection and weighted least squares. IEEE Trans. Circuits Syst. Video Technol. 25(11), 1749\u20131760 (2015)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1127_CR14","doi-asserted-by":"crossref","unstructured":"Wang, N., Shi, J., Yeung, D.Y., et al.: Understanding and diagnosing visual tracking systems. IEEE international conference on computer vision, pp. 3101\u20133109. (2016)","DOI":"10.1109\/ICCV.2015.355"},{"key":"1127_CR15","doi-asserted-by":"crossref","unstructured":"Yang, M.H., Lu, H., Zhong, W.: Robust object tracking via sparsity-based collaborative model. Computer vision and pattern recognition. 1838\u20131845 (2012)","DOI":"10.1109\/CVPR.2012.6247882"},{"issue":"7","key":"1127_CR16","doi-asserted-by":"crossref","first-page":"1428","DOI":"10.1109\/TPAMI.2013.213","volume":"36","author":"J Kwon","year":"2014","unstructured":"Kwon, J., Lee, K.M.: Tracking by sampling and integratingmultiple trackers. IEEE Trans. Pattern Anal. Mach. Intell. 36(7), 1428\u20131441 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1127_CR17","unstructured":"Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. International joint conference on artificial intelligence, pp. 674\u2013679. (1981)"},{"key":"1127_CR18","doi-asserted-by":"crossref","unstructured":"Briechle, K., Hanebeck, U.: Template matching using fast normalized cross correlation. In: Proceedings of the SPIE Optical Pattern Recognition XII, Orlando, FL, vol. 4387, pp. 95\u2013102, April 2001","DOI":"10.1117\/12.421129"},{"key":"1127_CR19","doi-asserted-by":"crossref","unstructured":"Adam, A., Rivlin, E., Shimshoni, I.: Robust fragments-based tracking using the integral histogram. Computer vision and pattern recognition pp. 798\u2013805 (2006)","DOI":"10.1109\/CVPR.2006.256"},{"key":"1127_CR20","unstructured":"Comaniciu, D., Ramesh, V., Meer, P.: Real-time tracking of non-rigid objects using mean shift. Computer vision and pattern recognition, (2000)"},{"issue":"3","key":"1127_CR21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11760-015-0764-6","volume":"10","author":"M Yakut","year":"2016","unstructured":"Yakut, M., Kehtarnavaz, N.: Ice-hockey puck detection and tracking for video highlighting. SIViP 10(3), 1\u20137 (2016)","journal-title":"SIViP"},{"issue":"4","key":"1127_CR22","doi-asserted-by":"crossref","first-page":"756","DOI":"10.1109\/TPAMI.2013.221","volume":"36","author":"L Zhang","year":"2014","unstructured":"Zhang, L., Maaten, L.V.D.: Preserving structure in model-free tracking. IEEE Trans. Pattern Anal. Mach. Intell. 36(4), 756 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1127_CR23","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.sigpro.2014.08.027","volume":"110","author":"S Zhang","year":"2015","unstructured":"Zhang, S., Zhou, H., Yao, H., et al.: Adaptive NormalHedge for robust visual tracking. Signal Process. 110, 132\u2013142 (2015)","journal-title":"Signal Process."},{"issue":"4","key":"1127_CR24","first-page":"58","volume":"4","author":"X Li","year":"2013","unstructured":"Li, X., Hu, W., Shen, C., et al.: A survey of appearance models in visual object tracking. ACM Trans. Intell. Syst. Technol. 4(4), 58 (2013)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"1127_CR25","first-page":"1","volume":"PP(99)","author":"S Zhang","year":"2016","unstructured":"Zhang, S., Lan, X., Yao, H., et al.: A biologically inspired appearance model for robust visual tracking. IEEE Trans. Neural Netw. Learn. Syst. PP(99), 1\u201314 (2016)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"1127_CR26","doi-asserted-by":"crossref","unstructured":"Kwon, J., Lee, K.M.: Visual tracking decomposition, Computer vision and pattern recognition. 1269\u20131276 (2010)","DOI":"10.1109\/CVPR.2010.5539821"},{"issue":"8","key":"1127_CR27","doi-asserted-by":"crossref","first-page":"1099","DOI":"10.1109\/TPAMI.2004.45","volume":"26","author":"HT Nguyen","year":"2004","unstructured":"Nguyen, H.T., Smeulders, A.W.: Fast occluded object tracking by a robust appearance filter. IEEE Trans. Pattern Anal. Mach. Intell. 26(8), 1099 (2004)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1127_CR28","doi-asserted-by":"crossref","unstructured":"Liu, B., Huang, J., Yang, L., et al.: Robust tracking using local sparse appearance model and K-selection. Computer vision and pattern recognition 1313\u20131320 (2011)","DOI":"10.1109\/CVPR.2011.5995730"},{"key":"1127_CR29","doi-asserted-by":"crossref","unstructured":"Henriques, J.F., Rui, C., Martins, P., et al.: Exploiting the circulant structure of tracking-by-detection with kernels. European conference on computer vision. pp. 702\u2013715 (2012)","DOI":"10.1007\/978-3-642-33765-9_50"},{"key":"1127_CR30","doi-asserted-by":"crossref","unstructured":"Dinh, T.B., Vo, N., Medioni, G.: Context tracker: exploring supporters and distracters in unconstrained environments. Computer vision and pattern recognition, 1177\u20131184 (2011)","DOI":"10.1109\/CVPR.2011.5995733"},{"key":"1127_CR31","unstructured":"Agrawal, S., Kumar, S., Kumar, S.: Modified PCA with genetic algorithm for age invariant face recognition. In: IJARCCE, (2015)"},{"key":"1127_CR32","doi-asserted-by":"crossref","unstructured":"Hong, Z., Wang, C., Mei, X., et al.: Tracking using multilevel quantizations. ECCV, pp. 155\u2013171 (2014)","DOI":"10.1007\/978-3-319-10599-4_11"},{"key":"1127_CR33","doi-asserted-by":"crossref","unstructured":"Wu, Y., Lim, J., Yang, M.H.: Online object tracking: a benchmark. Computer vision and pattern recognition. 2411\u20132418 (2013)","DOI":"10.1109\/CVPR.2013.312"},{"issue":"1","key":"1127_CR34","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1523\/JNEUROSCI.04-01-00309.1984","volume":"4","author":"MS Livingstone","year":"1984","unstructured":"Livingstone, M.S., Hubel, D.H.: Anatomy and physiology of a color system in the primate visual cortex. J. Neurosci. Off. J. Soc. Neurosci. 4(1), 309\u2013356 (1984)","journal-title":"J. Neurosci. Off. J. Soc. Neurosci."},{"issue":"9","key":"1127_CR35","doi-asserted-by":"crossref","first-page":"1627","DOI":"10.1109\/TPAMI.2009.167","volume":"32","author":"PF Felzenszwalb","year":"2010","unstructured":"Felzenszwalb, P.F., Girshick, R.B., Mcallester, D., et al.: Object detection with discriminatively trained part-based models. IEEE Trans. Pattern Anal. Mach. Intell. 32(9), 1627\u20131645 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"1127_CR36","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1007\/s11760-013-0525-3","volume":"9","author":"D Shan","year":"2015","unstructured":"Shan, D., Zhang, C.: Visual tracking using IPCA and sparse representation. SIViP 9(4), 913\u2013921 (2015)","journal-title":"SIViP"},{"issue":"6","key":"1127_CR37","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1007\/s11760-014-0628-5","volume":"8","author":"X Wang","year":"2014","unstructured":"Wang, X., Wang, Y., Wan, W., et al.: Object tracking with sparse representation and annealed particle filter. SIViP 8(6), 1059\u20131068 (2014)","journal-title":"SIViP"},{"key":"1127_CR38","doi-asserted-by":"crossref","unstructured":"Amamra, A.: Smooth head tracking for virtual reality applications. SIViP 11(3), 479\u2013486 (2017)","DOI":"10.1007\/s11760-016-0984-4"},{"issue":"3","key":"1127_CR39","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1109\/TCSVT.2016.2539860","volume":"27","author":"S Zhang","year":"2017","unstructured":"Zhang, S., Lan, X., Qi, Y., et al.: Robust visual tracking via basis matching. IEEE Trans. Circuits Syst. Video Technol. 27(3), 421\u2013430 (2017)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"5","key":"1127_CR40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11760-015-0817-x","volume":"10","author":"IS Topkaya","year":"2016","unstructured":"Topkaya, I.S., Erdogan, H., Porikli, F.: Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes. SIViP 10(5), 1\u20138 (2016)","journal-title":"SIViP"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11760-017-1127-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-017-1127-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-017-1127-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T18:52:29Z","timestamp":1750359149000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11760-017-1127-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,17]]},"references-count":40,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,1]]}},"alternative-id":["1127"],"URL":"https:\/\/doi.org\/10.1007\/s11760-017-1127-2","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2017,6,17]]}}}