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周珂等:复杂环境下一种基于SiamMask的时空预测移动目标跟踪算法 389. tracking algorithm based on joint color-texture histogram.Xi'an [15]Qiang Wang.Li Zhang,Luca Bertinetto,et al.Torr.SiamMask Jiaotong Univ,.2018,52(3):145 Hithub (2019-5-5)[2019-6-51.https://github.com/foolwood/Siam- (初红霞,谢忠玉,王科俊.一种结合颜色纹理直方图的改进型 Mask Camshift目标跟踪算法.西安交通大学学报,2018,52(3):145) [16]Zhang L,Suganthan P N.Robust visual tracking via co-trained [10]Yacoob Y,Davis L S.Detection and analysis of hair.IEEE Trans kemelized correlation filters.Pattern Recognit,2017,69:82 Pattern Anal Mach Intell,2006,28(7):1164 [17]Chen C,Wu Z X,Jiang Y G.Emotion in context:Deep semantic [11]Fu W L,Hu F Q.Hair detection with mean shift.Microcomput feature fusion for video emotion recognition /Proceedings of the 4ppl,2010,26(9):62 24th ACM International Conference on Multimedia.New York (傅文林,胡福乔.基于mean shift的头发自动检测.微型电脑应 2016:127 用,2010,26(9):62) [18]Huang Y,Huang X,Li S G,et al.Compensation method for a [12]Wang Z Y,Yang D L.Research on detection method of hair robot vision system with an occluded camera field.ChinJ Eng. occlusion in face recognition.Microcomput Its Appl,2016,35(2): 2018,40(3381 (黄煜,黄翔,李泷杲,等.存在视场丢失的机器视觉精度补偿方 (王志一,杨大利.人脸识别中发型遮挡检测方法研究.微型机 法,工程科学学报,2018,40(3:381) 与应用,2016,35(2):32) [19]Zhang J,Wang X,Fan H B.Spatio temporal context target [13]Ding C J,Yan B.Target tracking algorithm combines STC with tracking algorithm of self-adaption leaming.Comput Eng,2018, CamShift.Transduc Microsyst Technol,2018,37(5):108 44(6):294 (丁承君,闫彬.时空上下文与CamShift相结合的目标跟踪算法. (张品,王旭,范洪博.自适应学习的时空上下文目标跟踪算法. 传感器与微系统,2018,37(5):108) 计算机工程,2018,44(6):294) [14]Eriksson D,Bindel D,Shoemaker C.Surrogate Optimization [20]Pont-Tuset J,Perazzi F,Caelles S,et al.The 2017 Davis Challenge Toolbox Hithub (2019-1-5)[2019-6-5].https://github.com/dme65/ on Video Object Segmentation (2017-4-3)[2019-6-5].https://arxiv. PySOT org/abs/1704.00675tracking algorithm based on joint color-texture histogram. J Xi’an Jiaotong Univ, 2018, 52(3): 145 (初红霞, 谢忠玉, 王科俊. 一种结合颜色纹理直方图的改进型 Camshift目标跟踪算法. 西安交通大学学报, 2018, 52(3):145) Yacoob Y, Davis L S. Detection and analysis of hair. IEEE Trans Pattern Anal Mach Intell, 2006, 28(7): 1164 [10] Fu  W  L,  Hu  F  Q.  Hair  detection  with  mean  shift. Microcomput Appl, 2010, 26(9): 62 (傅文林, 胡福乔. 基于mean shift的头发自动检测. 微型电脑应 用, 2010, 26(9):62) [11] Wang  Z  Y,  Yang  D  L.  Research  on  detection  method  of  hair￾occlusion in face recognition. Microcomput Its Appl, 2016, 35(2): 32 (王志一, 杨大利. 人脸识别中发型遮挡检测方法研究. 微型机 与应用, 2016, 35(2):32) [12] Ding  C  J,  Yan  B.  Target  tracking  algorithm  combines  STC  with CamShift. Transduc Microsyst Technol, 2018, 37(5): 108 (丁承君, 闫彬. 时空上下文与CamShift相结合的目标跟踪算法. 传感器与微系统, 2018, 37(5):108) [13] Eriksson  D,  Bindel  D,  Shoemaker C. Surrogate Optimization Toolbox Hithub (2019-1-5)[2019-6-5]. https://github.com/dme65/ pySOT [14] Qiang  Wang,  Li  Zhang,  Luca  Bertinetto,  et  al.  Torr. SiamMask Hithub (2019-5-5)[2019-6-5]. https://github.com/foolwood/Siam￾Mask [15] Zhang  L,  Suganthan  P  N.  Robust  visual  tracking  via  co-trained kernelized correlation filters. Pattern Recognit, 2017, 69: 82 [16] Chen C, Wu Z X, Jiang Y G. Emotion in context: Deep semantic feature fusion for video emotion recognition // Proceedings of the 24th ACM International Conference on Multimedia.  New  York, 2016: 127 [17] Huang  Y,  Huang  X,  Li  S  G,  et  al.  Compensation  method  for  a robot  vision  system  with  an  occluded  camera  field. Chin J Eng, 2018, 40(3): 381 (黄煜, 黄翔, 李泷杲, 等. 存在视场丢失的机器视觉精度补偿方 法, 工程科学学报, 2018, 40(3): 381) [18] Zhang  J,  Wang  X,  Fan  H  B.  Spatio  temporal  context  target tracking  algorithm  of  self-adaption  learning. Comput Eng,  2018, 44(6): 294 (张晶, 王旭, 范洪博. 自适应学习的时空上下文目标跟踪算法. 计算机工程, 2018, 44(6):294) [19] Pont-Tuset J, Perazzi F, Caelles S, et al. The 2017 Davis Challenge on Video Object Segmentation (2017-4-3)[2019-6-5]. https://arxiv. org/abs/1704.00675 [20] 周    珂等: 复杂环境下一种基于 SiamMask 的时空预测移动目标跟踪算法 · 389 ·
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