P
Peter Meer
Researcher at Rutgers University
Publications - 148
Citations - 34772
Peter Meer is an academic researcher from Rutgers University. The author has contributed to research in topics: Estimator & Image segmentation. The author has an hindex of 56, co-authored 148 publications receiving 33447 citations. Previous affiliations of Peter Meer include University of Maryland, College Park & Sogang University.
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Journal Article
Region Covariance : A Fast Descriptor for Detection and Classification
TL;DR: In this paper, a fast method for computation of covariance matrices based on integral images is described, which is more general than the image sums or histograms, which were already published before, and with a series of integral images the covariances are obtained by a few arithmetic operations.
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Pedestrian Detection via Classification on Riemannian Manifolds
TL;DR: A novel approach for classifying points lying on a connected Riemannian manifold using the geometry of the space of d-dimensional nonsingular covariance matrices as object descriptors.
Proceedings ArticleDOI
Robust analysis of feature spaces: color image segmentation
Dorin Comaniciu,Peter Meer +1 more
TL;DR: A general technique for the recovery of significant image features is presented, based on the mean shift algorithm, a simple nonparametric procedure for estimating density gradients.
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Robust regression methods for computer vision: a review
TL;DR: The least-median-of-squares (LMedS) method, which yields the correct result even when half of the data is severely corrupted, is described and compared with the class of robust M-estimators.
Proceedings ArticleDOI
Covariance Tracking using Model Update Based on Lie Algebra
TL;DR: The covariance tracking method does not make any assumption on the measurement noise and the motion of the tracked objects, and provides the global optimal solution, and it is shown that it is capable of accurately detecting the nonrigid, moving objects in non-stationary camera sequences.