Visual Tracking Based on an Improved Online Multiple Instance Learning Algorithm

Huang, C. M. (2009). Visual Tracking and Its Applications by Bayesian Filtering with Active Cameras [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2009.02000
Hsu, C. Y. (2021). Visual Object Tracking without Prior Knowledge Based on Entity-Aware Correlation Filter [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-2412202116194353
Wang, Z., Wang, L., & Zhang, H. (2017). Patch Based Multiple Instance Learning Algorithm for Object Tracking. Computational Intelligence and Neuroscience, 2017(), 1-7. https://doi.org/10.1155/2017/2426475
Guo, Q., & Wu, C. D. (2016). Fast Visual Tracking using Memory Gradient Pursuit Algorithm. Journal of Information Science and Engineering, 32(1), 213-228. https://doi.org/10.6688/JISE.2016.32.1.12
Wen, J., Wang, H. J., Li, Y. N., Zhao, J. W., & Yang, Y. Y. (2020). Multi-Update Patterns and Validity Verification for Robust Visual Tracking. 電腦學刊, 31(4), 77-90. https://doi.org/10.3966/199115992020083104007