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ICIP
2007
IEEE
16 years 5 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
PAMI
1998
112views more  PAMI 1998»
15 years 3 months ago
Efficient Region Tracking With Parametric Models of Geometry and Illumination
—As an object moves through the field of view of a camera, the images of the object may change dramatically. This is not simply due to the translation of the object across the im...
Gregory D. Hager, Peter N. Belhumeur
CVPR
2012
IEEE
13 years 6 months ago
Estimating the aspect layout of object categories
In this work we seek to move away from the traditional paradigm for 2D object recognition whereby objects are identified in the image as 2D bounding boxes. We focus instead on: i...
Yu Xiang, Silvio Savarese
PDIS
1994
IEEE
15 years 8 months ago
Framework for Object Migration in Federated Database Systems
Existing federated database systems (FDBS) provide uniform access to multiple heterogeneous DBS, but do not enable objects to move across the DBS while retaining global identity. ...
Elke Radeke, Marc H. Scholl
ECCV
2010
Springer
15 years 6 months ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...