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» Motion Segmentation and Tracking Using Normalized Cuts
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PSIVT
2009
Springer
252views Multimedia» more  PSIVT 2009»
15 years 2 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
15 years 1 months 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
16 years 3 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
15 years 11 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
15 years 4 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...