Dim Targets Detection and Tracking by Self-adaptive Segmentation and Particle Filter in Starry Images

Wen-Kang Deng This email address is being protected from spambots. You need JavaScript enabled to view it.^1,2, Zong-Xi Song¹ , Wei Gao¹ , Fei-Peng Li^1,2, Yin-Long Qi^1,2 and Chen-Chen Wang^1,2

¹Space Optics Laboratory, Xi’an Institute of Optics and Precision Mechanics of CAS, Xi’an 710119, P.R. China
²University of Chinese Academy of Sciences, Beijing 100049, P.R. China

REFERENCES

1. [1] Zhu, Y., Hu, W., Zhou, J., Duan, F., Sun, J. and Jiang, L., “A New Starry Images Matching Method in Dim and Small Space Target Detection,” In Image and Graphics, 2009. ICIG’09. Fifth International Conference on 2009 Sep. 2023 (pp. 447450). IEEE. doi: 10. 1109/ICIG.2009.110
2. [2] Hu, J., Yu, Y. and Liu, F., “Small and Dim Target Detection by Background Estimation,” Infrared Physics & Technology, Vol. 73, pp. 141148 (2015). doi: 10. 1016/j.infrared.2015.09.009
3. [3] Gong, Z. Z., Xu, K. B., Mu, Y. Q. and Cao, Y., “The Space Debris Environment and the Active Debris Removal Techniques,” Spacecraft Environment Engineering, Vol. 31, No. 2, pp. 129135 (2014).
4. [4] Wang, X. W., Wang, C. H., Zhang, Y. Y. and Xu, J. S., “Detection of Small Space Target by Dynamic Programming,” Optics and Precision Engineering, Vol. 18, No. 2, pp. 477484 (2010).
5. [5] Patra, J. C., Widjaja, F., Das, A. and Ang, E. L., “A Fast Neural Network-based Detection and Tracking of Dim Moving Targets in FLIR Imagery,” In Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. 2005 Jul 31 (Vol. 5, pp. 3144 3149). IEEE. doi: 10.1109/IJCNN.2005.1556430
6. [6] Blostein, S. D. and Huang, T. S., “Detecting Small, Moving Objects in Image Sequences Using Sequential Hypothesis Testing,” IEEE Transactions on Signal Processing, Vol. 39, No. 7, pp. 16111629 (1991). doi: 10.1109/78.134399
7. [7] Qin, J., Chen, Q. and Qian, W. X., “A Detection Algorithm for Dim and Small Infrared Target Based on the Optical Flow Estimation and the Adaptive Background Suppression,” Acta Photonica Sinica, Vol. 3, pp. 476 482 (2011). doi: 10.3788/gzxb20114003.0476
8. [8] Le, C., Zhenghua, L. and Sentang, W., “Tracking of Infrared Radiation Dim Target Based on Mean-shift and Particle Filter,” In Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese 2014 Aug. 810 (pp. 671675). IEEE. doi: 10.1109/CGNCC. 2014.7007295
9. [9] Zhao, Y. F., Chen, L. D. and Meng Q. L., “New Algorithm for Improving Infrared Theodolite Tracking Precision for Dim Target,” Journal of Zhejiang University (Engineering Science), Vol. 7, p. 015 (2008).
10. [10] Tursun, D., Guiying, X. and Hamdulla, A., “A Particle Filter Based Algorithm for State Estimation of Dim Moving Point Target in IR Image Sequence,” In Intelligent Information Technology Application, 2008. IITA’08. Second International Symposium on 2008 Dec. 2022 (Vol. 2, pp. 127131). IEEE. doi: 10.1106/ IITA.2008.178
11. [11] Cuevas, E. V., Zaldivar, D. and Rojas, R., “Particle Filter in Vision Tracking,” e-Gnosis, Vol. 5, Art. 1 (2007).
12. [12] Boyle, W. S. and Smith, G. E., “The Inception of Charge-coupled Devices,” IEEE Transactions on Electron Devices, Vol. 23, No. 7, pp. 661663 (1976). doi: 10.1109/T-ED.1976.18470
13. [13] Savakis, A. E. and Trussell, H. J., “On the Accuracy of PSF Representation in Image Restoration,” IEEE Transactions on Image Processing, Vol. 2, No. 2, pp. 252259 (1993). doi: 10.1109/83.217229
14. [14] Gandhi, T., Yang, M. T., Kasturi, R., Camps, O. I., Coraor, L. D. and McCandless, J., “Performance Characterization of the Dynamic Programming Obstacle Detection Algorithm,” IEEE Transactions on Image Processing, Vol. 15, No. 5, pp. 12021214 (2006). doi: 10.1109/TIP.2005.863973