STATISTICS

Viewed283

Downloads224

Hybrid Tracking Method Based on Kernel Correlation Filter and Kalman Filter Prediction
[1]FAN Wenbing,ZHANG Lulu.Hybrid Tracking Method Based on Kernel Correlation Filter and Kalman Filter Prediction[J].Journal of Zhengzhou University (Engineering Science),2024,45(02):20-26.[doi:10.13705/j.issn.1671-6833.2023.02.014]
Copy
References:
[1] 孟晓燕, 段建民. 基于相关滤波的目标跟踪算法研究综述[J]. 北京工业大学学报, 2020, 46(12): 1393-1416.
MENG X Y, DUAN J M. Advances in correlation filter-based object tracking algorithms:a review[J].Journal of Beijing University of Technology,2020,46(12):1393-1416.
[2] BOLME D S, BEVERIDGE J R, DRAPER B A, et al. Visual object tracking using adaptive correlation filters[C]∥2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE,2010:2544-2550.
[3] HENRIQUES J F, CASEIRO R, MARTINS P, et al. Exploiting the circulant structure of tracking-by-detection with kernels[C]∥Proceedings of the 12th European Conference on Computer Vision. New York: ACM, 2012: 702-715.
[4] 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.
[5] DANELLJAN M, Hwidth=8,height=11,dpi=110GER G, KHAN F S, et al. Discriminative scale space tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(8): 1561-1575.
[6] LI Y, ZHU J K. A scale adaptive kernel correlation filter tracker with feature integration[C]∥Computer Vision-ECCV 2014 Workshops. Cham: Springer, 2015: 254-265.
[7] BERTINETTO L, VALMADRE J, GOLODETZ S, et al. Staple: complementary learners for real-time tracking[C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway:IEEE,2016:1401-1409.
[8] KALAL Z, MIKOLAJCZYK K, MATAS J. Tracking-learning-detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(7): 1409-1422.
[9] 陈丽萍, 王铭羽, 杨文柱, 等. 基于改进核相关滤波的长时目标跟踪算法[J]. 郑州大学学报(工学版), 2020, 41(3): 32-36.
CHEN L P, WANG M Y, YANG W Z, et al. An improved kernelized correlation filter for long-term target tracking[J]. Journal of Zhengzhou University (Engineering Science), 2020, 41(3): 32-36.
[10] 潘振福, 朱永利. 使用PSR重检测改进的核相关目标跟踪方法[J]. 计算机工程与应用, 2017, 53(12): 196-202.
PAN Z F, ZHU Y L. Improvement for tracker with kernelized correlation filters with PSR redetection[J]. Computer Engineering and Applications, 2017, 53(12): 196-202.
[11] CHEN H, ZHANG W G, YAN D H. Robust visual tracking with reliable object information and Kalman filter[J]. Sensors (Basel), 2021, 21(3): 889.
[12] YUAN Y, CHU J, LENG L, et al. A scale-adaptive object-tracking algorithm with occlusion detection[J]. EURASIP Journal on Image and Video Processing, 2020, 2020(1): 7.
[13] LI F Q, DONG E Z, YANG S. An improved object tracking algorithm combining LCT kernel correlation filtering and Kalman prediction[C]∥2021 China Automation Congress (CAC). Piscataway: IEEE, 2021:877-882.
[14] 刘耀胜,廖育荣,林存宝,等.基于特征融合与抗遮挡的卫星视频目标跟踪方法[J].北京航空航天大学学报,2022,48(12):2537-2547.
LIU Y S,LIAO Y R,LIN C B, et al. Feature-fusion and anti-occlusion based target tracking method for satellite videos[J].Journal of Beijing University of Aeronautics and Astronautics,2022,48(12):2537-2547.
[15] WU Y, LIM J, YANG M H. Online object tracking: a benchmark[C]∥2013 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway:IEEE, 2013:2411-2418.

Similar References:
Memo

-

Last Update: 2024-03-08
Copyright © 2023 Editorial Board of Journal of Zhengzhou University (Engineering Science)