Multi-target Tracking Algorithm Based on Self-regulating Sparse Expression and its Application
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-0115-6_72
Reference10 articles.
1. Li, C.L. 2017. Grayscale-thermal object tracking via multitask Laplacian sparse representation. IEEE Transactions on Systems Man Cybernetics-Systems 47 (4): 673–681.
2. Liu, H.C. 2016. Robust object tracking based on principal component analysis and local sparse representation. IEEE Transactions on Instrumentation and Measurement 64 (11): 2863–2875.
3. Nhat, V.Q., and G. Lee. 2016. Illumination invariant object tracking with adaptive sparse representation. International Journal of Control Automation and Systems 12 (1): 195–201.
4. Wang, H.J., and H.J. Ge. 2015. Object tracking via inverse sparse representation and convolutional networks. Optik 138: 68–79.
5. Xing, X.F. 2017. Robust object tracking based on sparse representation and incremental weighted PCA. Multimedia Tools and Applications 76 (2): 2039–2057.
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