Covariance Descriptor [1]Oncel Tuzel, Fatih Porikli, and Peter Meer, Region Covariance-A Fast Descriptor for Detection and Classification, Tech Report 2005 2 Yanwei Pang, Yuan Yuan, Xuelong Li, Gabor-Based Region Covariance Matrices for Face Recognition, IEEE T CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 18(7)9899932008 [3]Anoop Cherian, et al, Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices, IEEE TPAMI, in press, 2012 [4] Pedro Cortez Cargill,et al, Object Tracking based on Covariance Descriptors and On-Line Naive Bayes Nearest Neighbor Classifier, 2010 4th Pacific-Rim Symp Image and video Technology, pp 139-144 5] Ravishankar Sivalingam, et al, Positive Definite Dictionary Learning for Region Covariances, ICCV 2011 [6] Mehrtash T Harandi, et al, Kernel Analysis over Riemannian Manifolds for Visual Recognition of Actions Pedestrians and Textures, cVPR2012Covariance Descriptor [1] Oncel Tuzel, Fatih Porikli, and Peter Meer,Region Covariance-A Fast Descriptor for Detection and Classification, Tech. Report 2005. [2] Yanwei Pang, Yuan Yuan, Xuelong Li, Gabor-Based Region Covariance Matrices for Face Recognition, IEEE T CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 18(7):989-993,2008 [3] Anoop Cherian, et al, Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices, IEEE TPAMI, in press, 2012. [4] Pedro Cortez Cargill,et al, Object Tracking based on Covariance Descriptors and On-Line Naive Bayes Nearest Neighbor Classifier, 2010 4th Pacific-Rim Symp. Image and Video Technology,pp.139-144. [5] Ravishankar Sivalingam, et al, Positive Definite Dictionary Learning for Region Covariances, ICCV 2011. [6] Mehrtash T. Harandi, et al, Kernel Analysis over Riemannian Manifolds for Visual Recognition of Actions, Pedestrians and Textures, CVPR2012