Infrared Technology, Volume. 47, Issue 7, 802(2025)
Infrared Target-Tracking Algorithm Based on Parallel Hybrid Attention Mechanism
[2] [2] YAN P, YAO S, ZHU Q, et al. Real-time detection and tracking of infrared small targets based on grid fast density peaks searching and improved KCF[J].Infrared Physics & Technology, 2022,123: 104181.
[3] [3] CAO S, LI C, BAO S, et al. Practical detection and tracking of flying small objects in infrared images[J].Journal of Applied Remote Sensing, 2020,14(1): 016514-016514.
[6] [6] FAN Q, SUN G, ZOU E. Tracking of small infrared targets based on convolutional neural network[C]//Journal of Physics: Conference Series. IOP Publishing, 2020,1507(9): 092001.
[9] [9] Bertinetto L, Valmadre J, Henriques J F, et al. Fully-convolutional siamese networks for object tracking[C]//Computer Vision-ECCV Workshops, 2016: 850-865.
[10] [10] 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, 2018: 8971-8980.
[11] [11] YANG L Q, MA J, ZHAO Z, et al. Deformable convolution infrared tracking algorithm based on improved SiamRPN++[C]//2022 27thInternational Conference on Automation and Computing(ICAC), IEEE, 2022: 1-7.
[15] [15] LIU Yichao, SHAO Zongru, TENG Yueyang, et al. NAM: normalization-based attention module[J/OL]. ArXiv, 2021, https://arxiv.org/abs/2111.12419.
[16] [16] DAI T, CAI J, ZHANG Y, et al. Second-order attention network for single image super-resolution[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019: 11065-11074.
[17] [17] HU J, SHEN L, SUN G. Squeeze-and-excitation networks[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018: 7132-7141.
[18] [18] WANG Qilong, WU Banggu, ZHU Pengfei, et al. Eca-net: Efficient channel attention for deep convolutional neural networks[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020: 11531-11539.
[19] [19] WOO S, Park J, LEE J Y, et al. CBAM: Convolutional block attention module[C]//Proceedings of the European Conference on Computer Vision(ECCV), 2018: 3-19.
[20] [20] HOU Q, ZHOU D, FENG J. Coordinate attention for efficient mobile network design[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021: 13713-13722.
[22] [22] Selvaraju, Ramprasaath R., Das A. Grad-cam: Visual explanations from deep networks via gradient-based localization[C]//Proceedings of the IEEE International Conference on Computer Vision, 2017: 618-626.
[23] [23] Bertinetto L, Valmadre J, Golodetz S, et al. Staple: Complementary learners for real-time tracking[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016: 1401-1409.
[24] [24] LI Y, FU C, DING F, et al. AutoTrack: Towards high-performance visual tracking for UAV with automatic spatio-temporal regularization[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020: 11923-11932.
[25] [25] ZHAO M, Okada K, Inaba M. Trtr: Visual tracking with transformer[J]. arXiv preprint arXiv:2105.03817, 2021.
[26] [26] CUI Y, JIANG C, WANG L, et al. Mixformer: End-to-end tracking with iterative mixed attention[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022: 13608-13618.
[27] [27] CHEN Z, ZHONG B, LI G, et al. SiamBAN: Target-aware tracking with Siamese box adaptive network[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022,45(4): 5158-5173.
[28] [28] CHENG S, ZHONG B, LI G, et al. Learning to filter: Siamese relation network for robust tracking[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021: 4421-4431.
[29] [29] ZHANG Z, PENG H. Deeper and wider siamese networks for real-time visual tracking[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019: 4591-4600.
Get Citation
Copy Citation Text
XU Hongpeng, LIU Gang, SI Qifeng, CHEN Huixiang. Infrared Target-Tracking Algorithm Based on Parallel Hybrid Attention Mechanism[J]. Infrared Technology, 2025, 47(7): 802