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DAGSTUHL
2003
14 years 11 months ago
Feature tracking with skeleton graphs
One way to visualize large time-dependent data sets, is by visualization of the evolution of features in these data. The process consists of four steps: feature extraction, featur...
Benjamin Vrolijk, Freek Reinders, Frits H. Post
ICCV
2007
IEEE
15 years 11 months ago
Multi-Object Tracking Through Clutter Using Graph Cuts
The standard graph cut technique is a robust method for globally optimal image segmentations. However, because of its global nature, it is prone to capture outlying areas similar ...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi
WWW
2008
ACM
15 years 10 months ago
Web video topic discovery and tracking via bipartite graph reinforcement model
Automatic topic discovery and tracking on web-shared videos can greatly benefit both web service providers and end users. Most of current solutions of topic detection and tracking...
Lu Liu, Lifeng Sun, Yong Rui, Yao Shi, Shiqiang Ya...
ICIP
2002
IEEE
15 years 11 months ago
Object contour tracking using graph cuts based active contours
In this paper, we present an object contour tracking approach using graph cuts based active contours (GCBAC). Our proposed algorithm does not need any a priori global shape model,...
Ning Xu, Narendra Ahuja
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
14 years 11 months ago
Proximity Tracking on Time-Evolving Bipartite Graphs
Given an author-conference network that evolves over time, which are the conferences that a given author is most closely related with, and how do they change over time? Large time...
Hanghang Tong, Spiros Papadimitriou, Philip S. Yu,...