Nearest neighbor field driven stochastic sampling for abrupt motion tracking
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[1] Adam Finkelstein,et al. PatchMatch: a randomized correspondence algorithm for structural image editing , 2009, SIGGRAPH 2009.
[2] Shai Avidan,et al. Coherency Sensitive Hashing , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Ming-Hsuan Yang,et al. Least Soft-thresold Squares Tracking , 2013 .
[4] Junseok Kwon,et al. Visual tracking decomposition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[5] Ying Wu,et al. Large Displacement Optical Flow from Nearest Neighbor Fields , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Faming Liang,et al. Improving SAMC using smoothing methods: Theory and applications to Bayesian model selection problems , 2009, 0908.3553.
[7] Huchuan Lu,et al. Least Soft-Threshold Squares Tracking , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Junseok Kwon,et al. Wang-Landau Monte Carlo-Based Tracking Methods for Abrupt Motions , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Yi Wu,et al. Online Object Tracking: A Benchmark , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Yao Lu,et al. Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[11] Zdenek Kalal,et al. Tracking-Learning-Detection , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Seunghoon Hong,et al. Orderless Tracking through Model-Averaged Posterior Estimation , 2013, 2013 IEEE International Conference on Computer Vision.
[13] Ming-Hsuan Yang,et al. Incremental Learning for Robust Visual Tracking , 2008, International Journal of Computer Vision.
[14] Vibhav Vineet,et al. Struck: Structured Output Tracking with Kernels , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Jiwen Lu,et al. Abrupt Motion Tracking Via Intensively Adaptive Markov-Chain Monte Carlo Sampling , 2012, IEEE Transactions on Image Processing.