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» Motion Segmentation and Tracking Using Normalized Cuts
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PSIVT
2009
Springer
252views Multimedia» more  PSIVT 2009»
14 years 1 months ago
Moving Object Segmentation Using Optical Flow and Depth Information
This paper discusses the detection of moving objects (being a crucial part of driver assistance systems) using monocular or stereoscopic computer vision. In both cases, object dete...
Jens Klappstein, Tobi Vaudrey, Clemens Rabe, Andre...
ACCV
2007
Springer
14 years 15 days ago
Efficiently Solving the Fractional Trust Region Problem
Normalized Cuts has successfully been applied to a wide range of tasks in computer vision, it is indisputably one of the most popular segmentation algorithms in use today. A number...
Anders P. Eriksson, Carl Olsson, Fredrik Kahl

Source Code
2231views
15 years 2 months ago
The Berkeley Segmentation Engine (BSE)
The code is a (good, in my opinion) implementation of a segmentation engine based on normalised cuts (a spectral clustering algorithm) and a pixel affinity matrix calculation algor...
Charless Fowlkes
ICIP
2006
IEEE
14 years 10 months ago
Robust Motion-Based Segmentation in Video Sequences using Entropy Estimator
This paper deals with motion estimation and segmentation in video sequences. Some methods of motion computation between two consecutive frames of a video sequence are based on the...
Ariane Herbulot, Sylvain Boltz, Eric Debreuve, Mic...
ACCV
2009
Springer
14 years 3 months ago
3D Motion Segmentation Using Intensity Trajectory
Motion segmentation is a fundamental aspect of tracking in a scene with multiple moving objects. In this paper we present a novel approach to clustering individual image pixels ass...
Hua Yang, Greg Welch, Jan-Michael Frahm, Marc Poll...