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We propose an online visual tracking algorithm by learning discriminative saliency map using Convolutional Neural Network (CNN).
Incremental and decremental support vector machine learning
Cauwenberghs, Gert and Poggio, Tomaso · 2000
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Svm incremental learning, adaptation and optimization
Diehl, C.P. and Cauwenberghs, G · 2003
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Adaptive probabilistic visual tracking with incremental subspace update
Ross, D., Lim, J., and Yang, M.-H · 2004
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”grabcut”: Interactive foreground extraction using iterated graph cuts
Rother, Carsten, Kolmogorov, Vladimir, and Blake, Andrew · 2004
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Fast kernel classifiers with online and active learning
Bordes, Antoine, Ertekin, Seyda, Weston, Jason, and Bottou, Léon · 2005
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Real-time tracking via on-line boosting
Grabner, H., Grabner, M., and Bischof, H · 2006
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Solving multiclass support vector machines with larank
Bordes, Antoine, Bottou, Léon, Gallinari, Patrick, and Weston, Jason · 2007
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Sequential kernel density approximation and its application to real-time visual tracking
Han, B., Comaniciu, D., Zhu, Y., and Davis, L. S · 2008
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Robust visual tracking using l l 1 minimization
Mei, Xue and Ling, Haibin · 2009
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Human tracking using convolutional neural networks
Fan, Jialue, Xu, Wei, Wu, Ying, and Gong, Yihong · 2010
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Object detection with discriminatively trained part-based models
Felzenszwalb, P. F., Girshick, R. B., McAllester, D., and Ramanan, D · 2010
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Visual tracking decomposition
Kwon, Junseok and Lee, Kyoung-Mu · 2010
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Online multi-class lpboost
Saffari, A., Godec, M., Pock, T., Leistner, C., and Bischof, H · 2010
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Robust object tracking with online multiple instance learning
Babenko, Boris, Yang, Ming-Hsuan, and Belongie, Serge · 2011
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Context tracker: Exploring supporters and distracters in unconstrained environments
Dinh, Thang Ba, Vo, Nam, and Medioni, G · 2011
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Hough forests for object detection, tracking, and action recognition
Gall, J., Yao, A., Razavi, N., Gool, L. Van, and Lempitsky, V · 2011
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Struck: Structured output tracking with kernels
Hare, S., Saffari, A., and Torr, P. H S · 2011
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Tracking by sampling trackers
Kwon, Junseok and Lee, Kyoung Mu · 2011
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Robust tracking using local sparse appearance model and k-selection
Liu, Baiyang, Huang, Junzhou, Yang, Lin, and Kulikowski, Casimir A · 2011
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Online hough-forests
Schulter, Samuel, Leistner, Christian, Roth, Peter M., Gool, Luc Van, , and Bischof, Horst · 2011
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Real time robust l1 tracker using accelerated proximal gradient approach
Bao, Chenglong, Wu, Yi, Ling, Haibin, and Ji, Hui · 2012
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Caffe: An open source convolutional architecture for fast feature embedding
Jia, Y · 2013
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Learning a deep compact image representation for visual tracking
Wang, Naiyan and Yeung, Dit-Yan · 2013
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Online object tracking: A benchmark
Wu, Yi, Lim, Jongwoo, and Yang, Ming-Hsuan · 2013
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Decaf: A deep convolutional activation feature for generic visual recognition
Donahue, Jeff, Jia, Yangqing, Vinyals, Oriol, Hoffman, Judy, Zhang, Ning, Tzeng, Eric, and Darrell, Trevor · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
Girshick, Ross, Donahue, Jeff, Darrell, Trevor, and Malik, Jitendra · 2014
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Simultaneous detection and segmentation
Hariharan, Bharath, Arbeláez, Pablo, Girshick, Ross, and Malik, Jitendra · 2014
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Large scale visual recognition challenge (ILSVRC)
Berg, Alex, Deng, Jia, and Fei-Fei, L · 2012
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Exploiting the circulant structure of tracking-by-detection with kernels
Henriques, Joao F., Caseiro, Rui, Martins, Pedro, and Batista, Jorge · 2012
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Visual tracking via adaptive structural local sparse appearance model
Jia, Xu, Lu, Huchuan, and Yang, Ming-Hsuan · 2012
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Tracking-Learning-Detection
Kalal, Zdenek, Mikolajczyk, Krystian, and Matas, Jiri · 2012
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ImageNet Classification with Deep Convolutional Neural Networks
Krizhevsky, A., Sutskever, I., and Hinton, G. E · 2012
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Distribution fields for tracking
Sevilla-Lara, L. and Learned-Miller, E · 2012
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Spatial pyramid pooling in deep convolutional networks for visual recognition
He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, and Sun, Jian · 2014
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Recognizing image style
Karayev, Sergey, Trentacoste, Matthew, Han, Helen, Agarwala, Aseem, Darrell, Trevor, Hertzmann, Aaron, and Winnemoeller, Holger · 2014
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Deeptrack: Learning discriminative feature representations by convolutional neural networks for visual tracking
Li, H., Li, Y., and Porikli, F · 2014
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Learning and transferring mid-level image representations using convolutional neural networks
Oquab, M., Bottou, L., Laptev, I., and Sivic, J · 2014
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Overfeat: Integrated recognition, localization and detection using convolutional networks
Sermanet, Pierre, Eigen, David, Zhang, Xiang, Mathieu, Michael, Fergus, Rob, and LeCun, Yann · 2014
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Deep inside convolutional networks: Visualising image classification models and saliency maps
Simonyan, Karen, Vedaldi, Andrea, and Zisserman, Andrew · 2014
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Deeppose: Human pose estimation via deep neural networks
Toshev, A. and Szegedy, C · 2014
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Part-based R-CNNs for fine-grained category detection
Zhang, Ning, Donahue, Jeff, Girshick, Ross, and Darrell, Trevor · 2014
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