{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:09Z","timestamp":1750220289701,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T00:00:00Z","timestamp":1632441600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,9,24]]},"DOI":"10.1145\/3488933.3488963","type":"proceedings-article","created":{"date-parts":[[2022,2,25]],"date-time":"2022-02-25T11:36:59Z","timestamp":1645789019000},"page":"14-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["An Improved Long-Term Anti-Masking Object Tracking Algorithm"],"prefix":"10.1145","author":[{"given":"Jingjing","family":"Zhao","sequence":"first","affiliation":[{"name":"Xi'an University of Posts and Telecommunications, China"}]},{"given":"Xihai","family":"Xie","sequence":"additional","affiliation":[{"name":"Xi'an University of Posts and Telecommunications, China"}]},{"given":"Yao","family":"Tang","sequence":"additional","affiliation":[{"name":"Xi'an University of Posts and Telecommunications, China"}]}],"member":"320","published-online":{"date-parts":[[2022,2,25]]},"reference":[{"volume-title":"2015 IEEE International Conference on Computer Vision (ICCV)","author":"Wang N","key":"e_1_3_2_1_1_1","unstructured":"Wang N , Shi J , Yeung D , Understanding and Diagnosing Visual Tracking Systems[C]. 2015 IEEE International Conference on Computer Vision (ICCV) , 2015: 3101-3109. Wang N, Shi J, Yeung D, Understanding and Diagnosing Visual Tracking Systems[C]. 2015 IEEE International Conference on Computer Vision (ICCV), 2015: 3101-3109."},{"volume-title":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","author":"Bolme D S","key":"e_1_3_2_1_2_1","unstructured":"Bolme D S , Beveridge J R , Draper B A , Visual object tracking using adaptive correlation filters[C] . 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition , 2010: 2544-2550. Bolme D S, Beveridge J R, Draper B A, Visual object tracking using adaptive correlation filters[C]. 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010: 2544-2550."},{"volume-title":"ECCV 2012","author":"Henriques J F","key":"e_1_3_2_1_3_1","unstructured":"Henriques J F , Caseiro R , Martins P , Exploiting the Circulant Structure of Tracking-by-Detection with Kernels[C]. Computer Vision \u2013 ECCV 2012 , 2012: 702-715. Henriques J F, Caseiro R, Martins P, Exploiting the Circulant Structure of Tracking-by-Detection with Kernels[C]. Computer Vision \u2013 ECCV 2012, 2012: 702-715."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345390"},{"volume-title":"2014 IEEE Conference on Computer Vision and Pattern Recognition","author":"Danelljan M","key":"e_1_3_2_1_5_1","unstructured":"Danelljan M , Khan F S , Felsberg M , Adaptive Color Attributes for Real-Time Visual Tracking[C]. 2014 IEEE Conference on Computer Vision and Pattern Recognition , 2014: 1090-1097. Danelljan M, Khan F S, Felsberg M, Adaptive Color Attributes for Real-Time Visual Tracking[C]. 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014: 1090-1097."},{"volume-title":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Ma C","key":"e_1_3_2_1_6_1","unstructured":"Ma C , Yang X , Chongyang Z , Long-term correlation tracking[C] . 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2015: 5388-5396. Ma C, Yang X, Chongyang Z, Long-term correlation tracking[C]. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015: 5388-5396."},{"volume-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Wang M","key":"e_1_3_2_1_7_1","unstructured":"Wang M , Liu Y , Huang Z. Large Margin Object Tracking with Circulant Feature Maps[C] . 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2017: 4800-4808. Wang M, Liu Y, Huang Z. Large Margin Object Tracking with Circulant Feature Maps[C]. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017: 4800-4808."},{"volume-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Bertinetto L","key":"e_1_3_2_1_8_1","unstructured":"Bertinetto L , Valmadre J , Golodetz S , Staple : Complementary Learners for Real-Time Tracking[C] . 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2016: 1401-1409. Bertinetto L, Valmadre J, Golodetz S, Staple: Complementary Learners for Real-Time Tracking[C]. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016: 1401-1409."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00034-009-9130-7"},{"key":"e_1_3_2_1_10_1","volume-title":"Learning multi-domain convolutional neural networks for visual tracking\u2225Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition","author":"Nam H","year":"2016","unstructured":"Nam H , Han B. Learning multi-domain convolutional neural networks for visual tracking\u2225Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition . Las Vegas, NV, USA : IEEE , 2016 :4293-4302. Nam H, Han B. Learning multi-domain convolutional neural networks for visual tracking\u2225Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, NV, USA:IEEE, 2016:4293-4302."},{"key":"e_1_3_2_1_11_1","volume-title":"End-to-end representation learning for correlation filter based tracking\u2225Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition","author":"Valmadre J","year":"2017","unstructured":"Valmadre J , Bertinetto L , Henriques J , End-to-end representation learning for correlation filter based tracking\u2225Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition . Honolulu, HI, USA : IEEE , 2017 :5000-5008. Valmadre J, Bertinetto L, Henriques J, et al. End-to-end representation learning for correlation filter based tracking\u2225Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, HI, USA:IEEE, 2017:5000-5008."},{"key":"e_1_3_2_1_12_1","volume-title":"Fully-convolutional siamese networks for object tracking\u2225European Conference on Computer Vision","author":"Bertinetto L","year":"2016","unstructured":"Bertinetto L , Valmadre J , Henriques J F , Fully-convolutional siamese networks for object tracking\u2225European Conference on Computer Vision . Amsterdam, The Netherlands :Springer, 2016 : 850-865. Bertinetto L, Valmadre J, Henriques J F, et al. Fully-convolutional siamese networks for object tracking\u2225European Conference on Computer Vision. Amsterdam, The Netherlands:Springer, 2016:850-865."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2388226"},{"key":"e_1_3_2_1_14_1","volume-title":"Accurate scale estimation for robust visual tracking\u2225Proceedings of the British Machine Vision Conference","author":"Danelljan M","year":"2014","unstructured":"Danelljan M , H\u00e4ger G , Khan F S , Accurate scale estimation for robust visual tracking\u2225Proceedings of the British Machine Vision Conference . Nottingham : BMVA Press , 2014 . Danelljan M, H\u00e4ger G, Khan F S, et al. Accurate scale estimation for robust visual tracking\u2225Proceedings of the British Machine Vision Conference. Nottingham:BMVA Press, 2014."},{"key":"e_1_3_2_1_15_1","volume-title":"Zurich","author":"Zhang J M","year":"2014","unstructured":"[ 1 ] Zhang J M , Ma S G , Sclaroff S. MEEM:robust tracking via multiple experts using entropy minimization\u2225 European Conference on Computer Vision. Zurich , Switzerland : Springer , 2014 : 188-203. [1] Zhang J M, Ma S G, Sclaroff S. MEEM:robust tracking via multiple experts using entropy minimization\u2225European Conference on Computer Vision. Zurich, Switzerland: Springer, 2014:188-203."}],"event":{"name":"AIPR 2021: 2021 4th International Conference on Artificial Intelligence and Pattern Recognition","acronym":"AIPR 2021","location":"Xiamen China"},"container-title":["2021 4th International Conference on Artificial Intelligence and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488933.3488963","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3488933.3488963","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:31:28Z","timestamp":1750188688000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488933.3488963"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,24]]},"references-count":15,"alternative-id":["10.1145\/3488933.3488963","10.1145\/3488933"],"URL":"https:\/\/doi.org\/10.1145\/3488933.3488963","relation":{},"subject":[],"published":{"date-parts":[[2021,9,24]]},"assertion":[{"value":"2022-02-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}