R
Robert T. Collins
Researcher at Pennsylvania State University
Publications - 135
Citations - 13997
Robert T. Collins is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Image segmentation & Video tracking. The author has an hindex of 50, co-authored 132 publications receiving 13396 citations. Previous affiliations of Robert T. Collins include Purdue University & Carnegie Mellon University.
Papers
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A System for Video Surveillance and Monitoring
Robert T. Collins,Alan J. Lipton,Takeo Kanade,Hironobu Fujiyoshi,David Duggins,Yanghai Tsin,David Tolliver,Nobuyoshi Enomoto,Osamu Hasegawa,Peter J. Burt,Lambert Ernest Wixson +10 more
TL;DR: An overview of theVSAM system, which uses multiple, cooperative video sensors to provide continuous coverage of people and vehicles in a cluttered environment, is presented.
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Online selection of discriminative tracking features
TL;DR: This paper presents an online feature selection mechanism for evaluating multiple features while tracking and adjusting the set of features used to improve tracking performance, and notes susceptibility of the variance ratio feature selection method to distraction by spatially correlated background clutter.
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Mean-shift blob tracking through scale space
TL;DR: Lindeberg's theory of feature scale selection based on local maxima of differential scale-space filters to the problem of selecting kernel scale for mean-shift blob tracking shows that a difference of Gaussian (DOG) mean- shift kernel enables efficient tracking of blobs through scale space.
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Algorithms for cooperative multisensor surveillance
TL;DR: This paper presents an overview of the issues and algorithms involved in creating this semiautonomous, multicamera surveillance system and its potential to improve the situational awareness of security providers and decision makers.
Proceedings ArticleDOI
A space-sweep approach to true multi-image matching
TL;DR: A new space-sweep approach to true multi-image matching is presented that simultaneously determines 2D feature correspondences and the 3D positions of feature points in the scene.