[1] 夏晨木, 滕奇志, 卿粼波, 等. 岩石三维图像裂缝提取方法[J]. 计算机工程与应用, 2018, 54(17): 186-191.
XIA C M, TENG Q Z, QING L B, et al. Crack recognition of 3D rock images[J]. Computer Engineering and Applications, 2018, 54(17): 186-191.
[2] 李震霄, 孙伟, 刘明明, 等. 交通监控场景中的车辆检测与跟踪算法研究[J]. 计算机工程与应用, 2021, 57(8): 103-111.
LI Z X, SUN W, LIU M M, et al. Research on vehicle detection and tracking algorithms in traffic monitoring scenes[J]. Computer Engineering and Applications, 2021, 57(8): 103-111.
[3] 牛通, 卿粼波, 许盛宇, 等. 基于深度学习的分层关联多行人跟踪[J]. 计算机工程与应用, 2021, 57(8): 96-102.
NIU T, QING L B, XU S Y, et al. Multiple target tracking using hierarchical data association based on deep learning[J]. Computer Engineering and Applications, 2021, 57(8): 96-102.
[4] 鄂贵, 王永雄. 基于R-FCN框架的多候选关联在线多目标跟踪[J]. 光电工程, 2020, 47(1): 29-37.
E G, WANG Y X. Multi-candidate association online multi-target tracking based on R-FCN framework[J]. Opto-Electronic Engineering, 2020, 47(1): 29-37.
[5] REUTER S, VO B T, VO B N, et al. The labeled multi-Bernoulli filter[J]. IEEE Transactions on Signal Processing, 2014, 62(12): 3246-3260.
[6] VO B T, VO B N. Labeled random finite sets and multi-object conjugate priors[J]. IEEE Transactions on Signal Processing, 2013, 61(13): 3460-3475.
[7] VO B N, VO B T, PHUNG D Q. Labeled random finite sets and the Bayes multi-target tracking filter[J]. IEEE Transactions on Signal Processing, 2014, 62(24): 6554-6567.
[8] YIN J J, ZHANG J Q, ZHAO J. The Gaussian particle multi-target multi-Bernoulli filter[C]//Proceedings of the 2nd International Conference on Advanced Computer Control, Shenyang, Mar 27-29, 2010. Piscataway: IEEE, 2010: 556-560.
[9] FU Z Y, FENG P M, ANGELINI F, et al. Particle PHD filter based multiple human tracking using online group-structured dictionary learning[J]. IEEE Access, 2018, 6: 14764-14778.
[10] FU Z Y, ANGELINI F, NAQVI S M, et al. GM-PHD filter based online multiple human tracking using deep discriminative correlation matching[C]//Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Apr 15-20, 2018. Piscataway: IEEE, 2018: 4299-4303.
[11] FU Z Y, ANGELINI F, CHAMBERS J, et al. Multi-level cooperative fusion of GM-PHD filters for online multiple human tracking[J]. IEEE Transactions on Multimedia, 2019, 21(9): 2277-2291.
[12] 杨金龙, 汤玉, 张光南. 卷积特征多伯努利视频多目标跟踪算法[J]. 计算机科学与探索, 2019, 13(11): 1945-1957.
YANG J L, TANG Y, ZHANG G N. Visual multi-object tracking using convolution feature and multi-Bernoulli filter[J]. Journal of Frontiers of Computer Science and Technology, 2019, 13(11): 1945-1957.
[13] HENSCHEL R, LEALT L, CREMERS D, et al. Fusion of head and full-body detectors for multi-object tracking[C]//Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, Salt Lake City, Jun 18-22, 2018. Piscataway: IEEE, 2018: 1428-1437.
[14] 杨金龙, 程小雪, 缪佳妮, 等. 检测优化的多伯努利视频多目标跟踪算法[J]. 计算机科学与探索, 2020, 14(10): 1762-1775.
YANG J L, CHENG X X, MIAO J N, et al. Detection optimized multi-Bernoulli algorithm for visual multi-target tracking[J]. Journal of Frontiers of Computer Science and Technology, 2020, 14(10): 1762-1775.
[15] KUTSCHBACH T, BOCHINSKI E, EISELEIN V, et al. Sequential sensor fusion combining probability hypothesis density and kernelized correlation filters for multi-object tracking in video data[C]//Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, Lecce, Aug 29-Sep 1, 2017. Washington: IEEE Computer Society, 2017: 1-5.
[16] FU Z Y, NAQVI S M, CHAMBERS J A, et al. Collaborative detector fusion of data-driven PHD filter for online multiple human tracking[C]//Proceedings of the 21st International Conference on Information Fusion, Cambridge, Jul 10-13, 2018. Piscataway: IEEE, 2018: 1976-1981.
[17] HOSEINNEZHAD R, VO B N, VO B T, et al. Bayesian integration of audio and visual information for multi-target tracking using a CB-MeMBer filter[C]//Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, Prague, May 22-27, 2011. Piscataway: IEEE, 2011: 2300-2303.
[18] KIM D Y. Online multi-object tracking via labeled random finite set with appearance learning[C]//Proceedings of the 2017 International Conference on Control, Automation and Information Sciences, Chiang Mai, Oct 31-Nov 1, 2017. Piscataway: IEEE, 2017: 181-186.
[19] WANG Z D, ZHENG L, LIU Y X, et al. Towards real-time multi-object tracking[C]//LNCS 12356: Proceedings of the 16th European Conference on Computer Vision, Glasgow, Aug 23-28, 2020. Cham: Springer, 2020: 107-122.
[20] LAND E H, MCCANN J J. Lightness and retinex theory[J]. Journal of the Optical Society of America, 1971, 61(1): 1-11.
[21] BAISA N L. Occlusion-robust online multi-object visual tracking using a GM-PHD filter with a CNN-based reidentification[J]. arXiv:1912.05949, 2019.
[22] LIAO S C, HU Y, ZHU X Y, et al. Person re-identification by local maximal occurrence representation and metric learning[C]//Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition, Boston, Jun 7-12, 2015. Washington: IEEE Computer Society, 2015: 2197-2206.
[23] JOBSON D J, RAHMAN Z U, WOODELL G A. A multiscale retinex for bridging the gap between color images and the human observation of scenes[J]. IEEE Transactions on Image Processing, 1997, 6(7): 965-976.
[24] JOBSON D J, RAHMAN Z U, WOODELL G A. Properties and performance of a center/surround retinex[J]. IEEE Transactions on Image Processing, 1997, 6(3): 451-462.
[25] SANCHEZ-MATILLA R, CAVALLARO A. Motion prediction for first-person vision multi-object tracking[C]//LNCS 12538: Proceedings of the 16th ECCV Workshops on Computer Vision, Glasgow, Aug 23-28, 2020. Cham: Springer, 2020: 485-499.
[26] BEWLEY A, GE Z Y, OTT L, et al. Simple online and realtime tracking[C]//Proceedings of the 2016 IEEE International Conference on Image Processing, Phoenix, Sep 25-28, 2016. Piscataway: IEEE, 2016: 3464-3468.
[27] BOCHINSKI E, EISELEIN V, SIKORA T. High-speed tracking-by-detection without using image information[C]//Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, Lecce, Aug 29-Sep 1, 2017. Washington: IEEE Computer Society, 2017: 1-6.
[28] RISTANI E, SOLERA F, ZOU R, et al. performance measures and a data set for multi-target, multi-camera tracking[C]//LNCS 9914: Proceedings of the 14th ECCV Workshops on Computer Vision, Amsterdam, Oct 8-10, 15-16, 2016. Cham: Springer, 2016: 17-35. |