[1] WU Y, LIM J W, YANG M H.Online object tracking:a benchmark［C］//IEEE Conference on Computer Vision and Pattern Recognition, Portland, 2013:1354-1362.
[2] HENRIQUES F, CASEIRO R, MARTINS P, et al.Exploiting the circulant structure of tracking-by-detection with kernels［C］//European Conference on Computer Vision, Firenze, 2012:702-715.
[3] DANELLJAN M, KHAN F S, FELSBERG M, et al.Adaptive color attributes for real-time visual tracking［C］//IEEE Conference on Computer Vision and Pattern Recognition, Columbus, 2014:812-818.
[4] HENRIQUES F, CASEIRO R, MARTINS P, et al.High-speed tracking with kernelized correlation filters［J］.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 31(10):1156-1174.
[5] AGARWAL S, AWAN A, ROTH D.Learning to detect objects in images via a sparse, part-based representation［J］.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 20(11):1475-1490.
[6] SHU G, DEHGHAN A, OREIFEJ O, et al.Part-based multiple person tracking with partial occlusion handling［C］//IEEE Conference on Computer Vision and Pattern Recognition, Oregon, 2012:1298-1306.
[7] ADAM A, RIVLIN E, SHIMSHONI I.Robust fragments-based tracking using the integral histogram［C］//IEEE Conference on Computer Vision and Pattern Recognition, 2006:798-805.
[8] NEJHUM S M S, HO J, YANG M H.Visual tracking with histograms and articulating blocks［C］//IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, 2008:546-553.
[9] ZHANG T Z, JIA K, XU C S, et al.Partial occlusion handling for visual tracking via robust part matching［C］//IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Ohio, 2014:1552-1559.
[10] SCHOLKOPF B, SMOLA A J.Learning with kernels:support vector machines, regularization, optimization, and beyond［M］.Buston:The MIT Press, 2002:89.
[11] KAILATH T.The divergence and Bhattacharyya distance measures in signal selection［J］.IEEE Transactions on Communication, 1967, 15:52-60.
[12] ZHANG K H, ZHANG L, YANG M H, et al.Fast tracking via spatio-temporal context learning［C］//European Conference on Computer Vision, Zurich, 2014:744-757.
