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.
Papers
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Journal ArticleDOI
Mean shift: a robust approach toward feature space analysis
Dorin Comaniciu,Peter Meer +1 more
TL;DR: It is proved the convergence of a recursive mean shift procedure to the nearest stationary point of the underlying density function and, thus, its utility in detecting the modes of the density.
Journal ArticleDOI
Kernel-based object tracking
TL;DR: A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed, which employs a metric derived from the Bhattacharyya coefficient as similarity measure, and uses the mean shift procedure to perform the optimization.
Proceedings ArticleDOI
Real-time tracking of non-rigid objects using mean shift
TL;DR: The theoretical analysis of the approach shows that it relates to the Bayesian framework while providing a practical, fast and efficient solution for real time tracking of non-rigid objects seen from a moving camera.
Book ChapterDOI
Region covariance: a fast descriptor for detection and classification
TL;DR: A fast method for computation of covariances based on integral images, and the performance of the covariance features is superior to other methods, as it is shown, and large rotations and illumination changes are also absorbed by the covariances matrix.
Proceedings ArticleDOI
Mean shift analysis and applications
Dorin Comaniciu,Peter Meer +1 more
TL;DR: A nonparametric estimator of density gradient, the mean shift, is employed in the joint, spatial-range (value) domain of gray level and color images for discontinuity preserving filtering and image segmentation and its convergence on lattices is proven.