Kernelized temporal locality learning for real-time visual tracking

Pattern Recognition Letters - Tập 90 - Trang 72-79 - 2017
Fanghui Liu1, Tao Zhou1, Keren Fu1,2, Jie Yang1
1Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China
2School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Tài liệu tham khảo

Wang, 2015, Understanding and diagnosing visual tracking systems, 3101 Zhang, 2016, Robust visual tracking via convolutional networks without training, IEEE Trans. Image Process., 25, 1779 Mei, 2011, Robust visual tracking and vehicle classification via sparse representation, IEEE Trans. Pattern Anal. Mach. Intell., 33, 2259, 10.1109/TPAMI.2011.66 Zhang, 2015, Structural sparse tracking, 150 Yu, 2009, Nonlinear learning using local coordinate coding, 2223 Wang, 2010, Locality-constrained linear coding for image classification, 3360 Chen, 2013, Nonnegative local coordinate factorization for image representation, IEEE Trans. Image Process., 22, 969, 10.1109/TIP.2012.2224357 Liu, 2013, Robust visual tracking using local sparse appearance model and k-selection, IEEE Trans. Pattern. Anal. Mach. Intell., 35, 2968, 10.1109/TPAMI.2012.215 Ma, 2015, Linearization to nonlinear learning for visual tracking, 4400 Liu, 2015, Visual tracking via nonnegative regularization multiple locality coding, 72 Liu, 2015, Visual tracking via temporally smooth sparse coding, IEEE Signal Process. Lett., 22, 1452, 10.1109/LSP.2014.2365363 Zhang, 2015, Robust visual tracking via consistent low-rank sparse learning, Int. J. Comput. Vis., 111, 171, 10.1007/s11263-014-0738-0 Ma, 2015, Local subspace collaborative tracking, 4301 Gong, 2014, Pagerank tracker: from ranking to tracking, IEEE Trans. Cybern., 44, 882, 10.1109/TCYB.2013.2274516 Haveliwala, 2003, Topic-sensitive pagerank: a context-sensitive ranking algorithm for web search, IEEE Trans. Knowl. Data Eng., 15, 784, 10.1109/TKDE.2003.1208999 Wu, 2015, Robust discriminative tracking via landmark-based label propagation, IEEE Trans. Image Process., 24, 1510, 10.1109/TIP.2015.2405479 Wang, 2015, Kernel collaborative face recognition, Pattern Recognit., 48, 3025, 10.1016/j.patcog.2015.01.012 Henriques, 2015, High-speed tracking with kernelized correlation filters, IEEE Trans. Pattern Anal. Mach. Intell., 37, 583, 10.1109/TPAMI.2014.2345390 Schölkopf, 2011, Learning with kernels: support vector machines, regularization, optimization, and beyond, J. Am. Stat. Assoc., 16 Tang, 2015, Multi-kernel correlation filter for visual tracking, 3038 Zhu, 2013, From point to set: Extend the learning of distance metrics, 2664 Pele, 2009, Fast and robust earth mover’s distances, 460 Zhang, 2014, Robust (semi) nonnegative graph embedding, IEEE Trans. Image Process., 23, 2996, 10.1109/TIP.2014.2325784 Yang, 2013, Local image tagging via graph regularized joint group sparsity, Pattern Recognit., 46, 1358, 10.1016/j.patcog.2012.10.026 Wu, 2013, Online object tracking: A benchmark, 2411 Yoon, 2016, Interacting multiview tracker, IEEE Trans. Pattern Anal. Mach. Intell., 38, 903, 10.1109/TPAMI.2015.2473862 Everingham, 2010, The pascal visual object classes (voc) challenge, Int. J. Comput. Vis., 88, 303, 10.1007/s11263-009-0275-4 Zhong, 2014, Robust object tracking via sparse collaborative appearance model, IEEE Trans. Image Process., 23, 2356, 10.1109/TIP.2014.2313227 Wang, 2015, Visual tracking via sparse and local linear coding, IEEE Trans. Image Process., 24, 3796, 10.1109/TIP.2015.2445291