Low-level multimodal integration on Riemannian manifolds for automatic pedestrian detection
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Vittorio Murino | Marco Crocco | Samuele Martelli | Marco Cristani | Marco San-Biagio | M. Cristani | Vittorio Murino | Marco San-Biagio | M. Crocco | Samuele Martelli
[1] Dariu Gavrila,et al. High-Level Fusion of Depth and Intensity for Pedestrian Classification , 2009, DAGM-Symposium.
[2] Weihong Li,et al. Robust pedestrian detection in thermal infrared imagery using the wavelet transform , 2010 .
[3] 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).
[4] Pietro Perona,et al. Pedestrian Detection: An Evaluation of the State of the Art , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] I KunchevaLudmila. A Theoretical Study on Six Classifier Fusion Strategies , 2002 .
[6] Chunhua Shen,et al. Effective Pedestrian Detection Using Center-symmetric Local Binary/Trinary Patterns , 2010, ArXiv.
[7] Dariu Gavrila,et al. A Multilevel Mixture-of-Experts Framework for Pedestrian Classification , 2011, IEEE Transactions on Image Processing.
[8] Paul A. Viola,et al. Detecting Pedestrians Using Patterns of Motion and Appearance , 2005, International Journal of Computer Vision.
[9] Gerd Wanielik,et al. Improvement of the Classifier Performance of a Pedestrian Detection System by Pixel-Based Data Fusion , 2009, AI*IA.
[10] Mohan M. Trivedi,et al. On Color-, Infrared-, and Multimodal-Stereo Approaches to Pedestrian Detection , 2007, IEEE Transactions on Intelligent Transportation Systems.
[11] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[12] Fatih Murat Porikli,et al. Pedestrian Detection via Classification on Riemannian Manifolds , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Jian Yao,et al. Fast human detection from videos using covariance features , 2008, ECCV 2008.
[14] Vittorio Murino,et al. Multi-class Classification on Riemannian Manifolds for Video Surveillance , 2010, ECCV.
[15] LipChen Alex Chan,et al. Enhanced target tracking through infrared-visible image fusion , 2011, 14th International Conference on Information Fusion.
[16] Riad I. Hammoud,et al. Thermal-Visible Video Fusion for Moving Target Tracking and Pedestrian Classification , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Ramakant Nevatia,et al. Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[18] L. Andreone,et al. SVM-based pedestrian recognition on near-infrared images , 2005, ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005..
[19] Keiichi Yamada,et al. A shape-independent method for pedestrian detection with far-infrared images , 2004, IEEE Transactions on Vehicular Technology.
[20] Pascal Vasseur,et al. Introduction to Multisensor Data Fusion , 2005, The Industrial Information Technology Handbook.
[21] A. Broggi,et al. Pedestrian Detection using Infrared images and Histograms of Oriented Gradients , 2006, 2006 IEEE Intelligent Vehicles Symposium.
[22] Riad I. Hammoud,et al. Robust Multi-Pedestrian Tracking in Thermal-Visible Surveillance Videos , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).
[23] Ludmila I. Kuncheva,et al. A Theoretical Study on Six Classifier Fusion Strategies , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[24] A. Broggi,et al. Pedestrian Detection on a Moving Vehicle: an Investigation about Near Infra-Red Images , 2006, 2006 IEEE Intelligent Vehicles Symposium.
[25] Kyoil Chung,et al. Face Recognition with Multiscale Data Fusion of Visible and Thermal Images , 2006, 2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety.
[26] Edward Y. Chang,et al. Optimal multimodal fusion for multimedia data analysis , 2004, MULTIMEDIA '04.