OPTICS & OPTOELECTRONIC TECHNOLOGY, Volume. 22, Issue 2, 83(2024)
Object Tracking Algorithm Based on Attention Fusion
[4] [4] Krizhevsky A,Sutskever I,Hinton E G. ImageNet classification with deep convolutional neural networks[J].Communications of the ACM,2017,60(6):84-90.
[5] [5] Li B,Yan J,Wu W,et al. High performance visual tracking with siamese region proposal network[C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Salt Lake City,2018.
[6] [6] Shaoqing R,Kaiming H,Ross G,et al. Faster R-CNN:Towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(6):1137-1149.
[9] [9] Zhang Z,Peng H,Wang Q. Deeper and wider siamese networks for real-time visual tracking[DB/OL]. 2019-03-28/2023-09-26,https://doi.org/10.48550/arXiv.1901.01660.
[10] [10] Xu Y,Wang Z,Li Z,et al. SiamFC++ :Towards robust and accurate visual tracking with target estimation guidelines[J]. Proceedings of the AAAI Conference on Artificial Intelligence,2020,34(7):12549-12556.
[11] [11] Li Q,Qin Z,Zhang W,et al. Siamese keypoint prediction network for visual object tracking[DB/OL]. 2020-06-07/2023-09-26. https://doi.org/10.48550/arXiv.2006.04078.
[12] [12] Tian Z,Shen C,Chen H,et al. FCOS:Fully convolutional one-stage object detection[DB/OL]. 2019-08-20/2023-09-26. https://doi.org/10.48550/arXiv.1904.01355.
[13] [13] Chen Z,Zhong B,Li G,et al. Siamese box adaptive network for visual tracking[C]. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2020:6668-6677.
[14] [14] Guo D,Wang J,Cui Y,et al. SiamCAR:Siamese fully convolutional classification and regression for visual tracking[C]. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2020:6268-6276.
[15] [15] He KM,Zhang XY,Ren SQ,et al. Deep residual learning for image recognition[C]. Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition. IEEE,Las Vegas,2016.
[16] [16] Yu J,Jiang Y,Wang Z,et al. UnitBox:an advanced object detection network[DB/OL]. 2016-08-04/2023-09-26.https://doi.org/10.48550/arXiv.1608.01471.
[17] [17] Wang Q,Wu B,Zhu P,et al. ECA-Net:Efficient channel attention for deep convolutional neural networks[C].Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2020.
[18] [18] Hu J,Shen L,Sun G. Squeeze-and-excitation networks[C]. Computer vision and pattern recognition. IEEE,Salt Lake City,2018.
[19] [19] Sanghyun W,Jongchan P,Joon-Young L,et al. CBAM:Convolutional block attention module[DB/OL]. 2018-07-18/2023-09-26. https://doi.org/10.48550/arXiv.1807.06521.
[20] [20] Lianghua H,Xin Z,Kaiqi H. GOT-10k:A large high-diversity benchmark for generic object tracking in the wild [J]. IEEE transactions on pattern analysis and machine intelligence,2019,43(5):1562-1577 .
[21] [21] Yi,Wu,Jongwoo,et al. Object tracking benchmark[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence,2015,37(9):1834-1848.
[22] [22] Kristan M,He Z. The sixth visual object tracking VOT2018 challenge results[C]. Proceedings of the European Conference on Computer VisionWorkshops. Munich,Germany,2018.
Get Citation
Copy Citation Text
JIANG Hui-feng, WANG Dong, GAO Shan. Object Tracking Algorithm Based on Attention Fusion[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2024, 22(2): 83
Received: Oct. 23, 2023
Accepted: --
Published Online: Jun. 27, 2024
The Author Email:
CSTR:32186.14.