Hybrid human detection and recognition in surveillance
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Wei Zhang | King Ngi Ngan | Qiang Liu | Hongliang Li | Wei Zhang | Hongliang Li | K. Ngan | Qiang Liu
[1] Hermann Ney,et al. SURF-Face: Face Recognition Under Viewpoint Consistency Constraints , 2009, BMVC.
[2] Nicolas Pinto,et al. How far can you get with a modern face recognition test set using only simple features? , 2009, CVPR.
[3] Mislav Grgic,et al. SCface – surveillance cameras face database , 2011, Multimedia Tools and Applications.
[4] Yaniv Taigman,et al. Descriptor Based Methods in the Wild , 2008 .
[5] Qiang Ji,et al. Learning discriminant features for multi-view face and eye detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[6] Christos-Savvas Bouganis,et al. Robust multi-image based blind face hallucination , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] T. Joachims. Support Vector Machines , 2002 .
[8] Gang Hua,et al. Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation , 2013, 2013 IEEE International Conference on Computer Vision.
[9] Sukhendu Das,et al. Face Recognition on Low Quality Surveillance Images, by Compensating Degradation , 2011, ICIAR.
[10] Shiguang Shan,et al. CovGa: A novel descriptor based on symmetry of regions for head pose estimation , 2014, Neurocomputing.
[11] Yuchun Fang,et al. Fusion of Multi-directional Rotation Invariant Uniform LBP Features for Face Recognition , 2009, 2009 Third International Symposium on Intelligent Information Technology Application.
[12] Liming Chen,et al. 3D-Aided Face Recognition Robust to Expression and Pose Variations , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Tieniu Tan,et al. Rapid and robust human detection and tracking based on omega-shape features , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[14] Stan Z. Li,et al. FloatBoost learning and statistical face detection , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Luc Van Gool,et al. Depth and Appearance for Mobile Scene Analysis , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[16] Antonio Albiol,et al. Face recognition using HOG-EBGM , 2008, Pattern Recognit. Lett..
[17] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[18] Pablo H. Hennings-Yeomans,et al. Simultaneous super-resolution and feature extraction for recognition of low-resolution faces , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Azriel Rosenfeld,et al. Face recognition: A literature survey , 2003, CSUR.
[20] Xiaogang Wang,et al. Bayesian face recognition using Gabor features , 2003, WBMA '03.
[21] Brian C. Lovell,et al. Face Recognition Robust to Head Pose from One Sample Image , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[22] Shiguang Shan,et al. Joint sparse representation for video-based face recognition , 2014, Neurocomputing.
[23] Gang Hua,et al. Eigen-PEP for Video Face Recognition , 2014, ACCV.
[24] Andrea Lagorio,et al. On the Use of SIFT Features for Face Authentication , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).
[25] Wen Gao,et al. Optimization of a training set for more robust face detection , 2009, Pattern Recognit..
[26] Matti Pietikäinen,et al. Local frequency descriptor for low-resolution face recognition , 2011, Face and Gesture 2011.
[27] Andrew Zisserman,et al. Fisher Vector Faces in the Wild , 2013, BMVC.
[28] Samy Bengio,et al. Measuring the performance of face localization systems , 2006, Image Vis. Comput..
[29] Brian C. Lovell,et al. Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference , 2009, ICB.
[30] Armin B. Cremers,et al. Informed Haar-Like Features Improve Pedestrian Detection , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Shumeet Baluja,et al. Boosting Sex Identification Performance , 2005, International Journal of Computer Vision.
[32] Ville Ojansivu,et al. Blur Insensitive Texture Classification Using Local Phase Quantization , 2008, ICISP.
[33] Deva Ramanan,et al. Face detection, pose estimation, and landmark localization in the wild , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[35] D. Jacobs,et al. Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch , 2011, CVPR 2011.
[36] Zihan Zhou,et al. Demo: Robust face recognition via sparse representation , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.
[37] Gang Hua,et al. Hierarchical-PEP model for real-world face recognition , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Matti Pietikäinen,et al. Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2000, ECCV.
[39] Yuxiao Hu,et al. Face recognition using Laplacianfaces , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] King Ngi Ngan,et al. FaceSeg: Automatic Face Segmentation for Real-Time Video , 2009, IEEE Transactions on Multimedia.
[41] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[42] Javier Ruiz-del-Solar,et al. Recognition of Faces in Unconstrained Environments: A Comparative Study , 2009, EURASIP J. Adv. Signal Process..
[43] Nicolas Pinto,et al. How far can you get with a modern face recognition test set using only simple features? , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[44] Masashi Nishiyama,et al. Facial deblur inference to improve recognition of blurred faces , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[45] Luc Van Gool,et al. Face Detection without Bells and Whistles , 2014, ECCV.
[46] Alexander H. Waibel,et al. Growing Gaussian mixture models for pose invariant face recognition , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[47] Paul A. Viola,et al. Detecting Pedestrians Using Patterns of Motion and Appearance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[48] Tsuhan Chen,et al. Learning patch correspondences for improved viewpoint invariant face recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[49] Harry Shum,et al. Kullback-Leibler boosting , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[50] Tal Hassner,et al. Effective face frontalization in unconstrained images , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[51] Shiguang Shan,et al. Discriminant analysis on Riemannian manifold of Gaussian distributions for face recognition with image sets , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Rainer Lienhart,et al. An extended set of Haar-like features for rapid object detection , 2002, Proceedings. International Conference on Image Processing.
[53] Seong G. Kong,et al. Multiscale Fusion of Visible and Thermal IR Images for Illumination-Invariant Face Recognition , 2007, International Journal of Computer Vision.
[54] K.W. Bowyer,et al. Multi-Factor Approach to Improving Recognition Performance in Surveillance-Quality Video , 2008, 2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems.
[55] B. Heisele. Face Detection , 2001 .
[56] Bernt Schiele,et al. Filtered channel features for pedestrian detection , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[57] Xin Liu,et al. Morphable Displacement Field Based Image Matching for Face Recognition across Pose , 2012, ECCV.
[58] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[59] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[60] Lin Ma,et al. Multimodal learning for facial expression recognition , 2015, Pattern Recognit..
[61] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[62] Thorsten Joachims,et al. Learning to classify text using support vector machines - methods, theory and algorithms , 2002, The Kluwer international series in engineering and computer science.
[63] Gang Hua,et al. Probabilistic Elastic Matching for Pose Variant Face Verification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[64] Alex Pentland,et al. Face recognition using eigenfaces , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[65] Thomas S. Huang,et al. Restoration and recognition in a loop , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[66] Takeshi Mita,et al. Joint Haar-like features for face detection , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[67] Thomas S. Huang,et al. Close the loop: Joint blind image restoration and recognition with sparse representation prior , 2011, 2011 International Conference on Computer Vision.
[68] Xiaogang Wang,et al. Dual-space linear discriminant analysis for face recognition , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[69] Frédéric Jurie,et al. Learning Visual Similarity Measures for Comparing Never Seen Objects , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[70] Jongsun Kim,et al. Effective representation using ICA for face recognition robust to local distortion and partial occlusion , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[71] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[72] Gang Hua,et al. Efficient Boosted Exemplar-Based Face Detection , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[73] Matti Pietikäinen,et al. Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[74] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[75] Pietro Perona,et al. Pedestrian Detection: An Evaluation of the State of the Art , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.