Search For:

Displaying 1-6 out of 6 total
Using Model-Based Localization with Active Navigation
Found in: Pattern Recognition, International Conference on
By Amit Adam, Ehud Rivlin, Ilan Shimshoni
Issue Date:September 2000
pp. 4676
Vision is an important sensor used for mobile robot navigation. One approach to localization, which is based on vision, is to compute camera egomotion with respect to base images. What characterizes this method of localization is that its performance varie...
 
On Scene Segmentation and Histograms-Based Curve Evolution
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Amit Adam, Ron Kimmel, Ehud Rivlin
Issue Date:September 2009
pp. 1708-1714
We consider curve evolution based on comparing distributions of features, and its applications for scene segmentation. In the first part, we promote using cross-bin metrics such as the Earth Mover's Distance (EMD), instead of standard bin-wise metrics as t...
 
Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Amit Adam, Ehud Rivlin, Ilan Shimshoni, David Reinitz
Issue Date:March 2008
pp. 555-560
We present a novel algorithm for detection of certain types of unusual events. The algorithm is based on multiple local monitors which collect low-level statistics. Each local monitor produces an alert if its current measurement is unusual, and these alert...
 
Robust Fragments-based Tracking using the Integral Histogram
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Amit Adam, Ehud Rivlin, Ilan Shimshoni
Issue Date:June 2006
pp. 798-805
<p>We present a novel algorithm (which we call
 
ROR: Rejection of Outliers by Rotations
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Amit Adam, Ehud Rivlin, Ilan Shimshoni
Issue Date:January 2001
pp. 78-84
<p><b>Abstract</b>—We address the problem of rejecting false matches of points between two perspective views. The two views are taken from two arbitrary, unknown positions and orientations. Even the best algorithms for image matching make...
 
ROR: Rejection of Outliers by Rotations in Stereo Matching
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Amit Adam, Ehud Rivlin, Ilan Shimshoni
Issue Date:June 2000
pp. 1002
We address the problem of rejecting false matches of points between two perspective views. Even the best algorithms for image matching make some mistakes and output some false matches. We present an algorithm for identification of the false matches between...
 
 1