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尹宏鹏,陈波,柴毅,等. 基于视觉的目标检测与跟踪综述[J]. 自动化学报,2016, 42(10): 1466-1489.
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严金丰. 复杂交通场景中运动目标只能监控[D]. 合肥: 中国科学技术大学,2014.
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ZIVKOVIC Z, VAN DER Heijden F. Efficient adaptive density estimation per image pixel for the task of background subtraction [J]. Pattern Recognition Letters, 2006, 27(7): 773-780.
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管皓,薛向阳,安志勇. 深度学习在视频目标跟踪中的应用进展与展望[J]. 自动化学报,2016, 42(6): 834-847.
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管皓,薛向阳,安志勇. 在线单目标视频跟踪算法综述[J]. 小型微型计算机系统,2017, 38(1): 147-153
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LEVEY A, LINDENBAUM M. Sequential Karhunen-Loeve basis extraction and its application to images [J]. IEEE Transactions on Image Processing, 2000, 9(8): 1371-1374.
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MEI X, LING H. Robust visual tracking using L1 minimization[C]// IEEE 12th International Conference on Computer Vision. Kyoto, Japan: IEEE, 2009: 1436-1443.
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SBALZARINI I F, KOUMOUTSAKOS P. Feature point tracking and trajectory analysis for video imaging in cell biology [J]. Journal of Structural Biology, 2005, 151(2): 182-195.
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MARESCA M E, PETROSINO A. Matrioska: Amulti-level approach to fast tracking by learning[C]//International Conference on Image Analysis and Processing. Berlin: Springer, 2013: 419-428.
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NEBEHAY G, PFLUGFELDER R. Clustering of static-adaptive correspondences for deformable object tracking[C]// IEEE Conference on Computer Vision and Pattern Recognition. Boston, USA: IEEE, 2015: 2784-2791.
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AVIDAN S. Support vector tracking [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(8):1064-1072.
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GRABNER H, BISCHOF H. On-line boosting and vision [C]// IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2006: 1-8.
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HENRIQUES J F, CASEIRO R, MARTINS P, et al. High-speed tracking with kernelized correlation filters[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 583-596.
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[14] |
NAM H, HAN B. Learning multi-domain convolutional neural networks for visual tracking[C]// IEEE Conference on Computer Vision and Pattern Recognition. 2016: 4293-4302.
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[15] |
LI B, YAN J, WU W, et al. High performance visual tracking with Siamese region proposal network[C]// IEEE Conference on Computer Vision and Pattern Recognition. 2018: 8971-8980.
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[16] |
WU Y, LIM J, YANG M H. Online object tracking: A benchmark[C]. IEEE Conference on Computer Vision and Pattern Recognition. 2013: 2411-2418.
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[17] |
BABENKO B, YANG M H, Belongie S. Robust object tracking with online multiple instance learning[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8): 1619-1632.
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[18] |
KALAL Z, MIKOLAJCZYK K, MATAS J. Tracking-learning-detection[J]. IEEE transactions on Pattern Analysis and Machine Intelligence, 2012, 34(7): 1409-1422.
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[19] |
NEBEHAY G, PFLUGFELDER R. Consensus-based matching and tracking of keypoints for object tracking[C]. IEEE Winter Conference on Applications of Computer Vision.2014: 862-869.
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[20] |
BABENKO B, YANG M H, BELONGIE S. Visual tracking with online multiple instance learning[C]// IEEE Conference on Computer Vision and Pattern Recognition. Miami, USA: IEEE, 2009: 983-990.)
|
[1] |
尹宏鹏,陈波,柴毅,等. 基于视觉的目标检测与跟踪综述[J]. 自动化学报,2016, 42(10): 1466-1489.
|
[2] |
严金丰. 复杂交通场景中运动目标只能监控[D]. 合肥: 中国科学技术大学,2014.
|
[3] |
ZIVKOVIC Z, VAN DER Heijden F. Efficient adaptive density estimation per image pixel for the task of background subtraction [J]. Pattern Recognition Letters, 2006, 27(7): 773-780.
|
[4] |
管皓,薛向阳,安志勇. 深度学习在视频目标跟踪中的应用进展与展望[J]. 自动化学报,2016, 42(6): 834-847.
|
[5] |
管皓,薛向阳,安志勇. 在线单目标视频跟踪算法综述[J]. 小型微型计算机系统,2017, 38(1): 147-153
|
[6] |
LEVEY A, LINDENBAUM M. Sequential Karhunen-Loeve basis extraction and its application to images [J]. IEEE Transactions on Image Processing, 2000, 9(8): 1371-1374.
|
[7] |
MEI X, LING H. Robust visual tracking using L1 minimization[C]// IEEE 12th International Conference on Computer Vision. Kyoto, Japan: IEEE, 2009: 1436-1443.
|
[8] |
SBALZARINI I F, KOUMOUTSAKOS P. Feature point tracking and trajectory analysis for video imaging in cell biology [J]. Journal of Structural Biology, 2005, 151(2): 182-195.
|
[9] |
MARESCA M E, PETROSINO A. Matrioska: Amulti-level approach to fast tracking by learning[C]//International Conference on Image Analysis and Processing. Berlin: Springer, 2013: 419-428.
|
[10] |
NEBEHAY G, PFLUGFELDER R. Clustering of static-adaptive correspondences for deformable object tracking[C]// IEEE Conference on Computer Vision and Pattern Recognition. Boston, USA: IEEE, 2015: 2784-2791.
|
[11] |
AVIDAN S. Support vector tracking [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(8):1064-1072.
|
[12] |
GRABNER H, BISCHOF H. On-line boosting and vision [C]// IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2006: 1-8.
|
[13] |
HENRIQUES J F, CASEIRO R, MARTINS P, et al. High-speed tracking with kernelized correlation filters[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 583-596.
|
[14] |
NAM H, HAN B. Learning multi-domain convolutional neural networks for visual tracking[C]// IEEE Conference on Computer Vision and Pattern Recognition. 2016: 4293-4302.
|
[15] |
LI B, YAN J, WU W, et al. High performance visual tracking with Siamese region proposal network[C]// IEEE Conference on Computer Vision and Pattern Recognition. 2018: 8971-8980.
|
[16] |
WU Y, LIM J, YANG M H. Online object tracking: A benchmark[C]. IEEE Conference on Computer Vision and Pattern Recognition. 2013: 2411-2418.
|
[17] |
BABENKO B, YANG M H, Belongie S. Robust object tracking with online multiple instance learning[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8): 1619-1632.
|
[18] |
KALAL Z, MIKOLAJCZYK K, MATAS J. Tracking-learning-detection[J]. IEEE transactions on Pattern Analysis and Machine Intelligence, 2012, 34(7): 1409-1422.
|
[19] |
NEBEHAY G, PFLUGFELDER R. Consensus-based matching and tracking of keypoints for object tracking[C]. IEEE Winter Conference on Applications of Computer Vision.2014: 862-869.
|
[20] |
BABENKO B, YANG M H, BELONGIE S. Visual tracking with online multiple instance learning[C]// IEEE Conference on Computer Vision and Pattern Recognition. Miami, USA: IEEE, 2009: 983-990.)
|