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» Toward Objective Evaluation of Image Segmentation Algorithms
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115
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ICIP
2007
IEEE
15 years 7 months ago
Using Dempster-Shafer Theory to Fuse Multiple Information Sources in Region-Based Segmentation
This paper presents a new method for segmentation of images into large regions that reflect the real world objects present in a scene. It explores the feasibility of utilizing sp...
Tomasz Adamek, Noel E. O'Connor
89
Voted
ICPR
2010
IEEE
14 years 10 months ago
Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling
We propose a region-based foreground object segmentation method capable of dealing with image sequences containing noise, illumination variations and dynamic backgrounds (as often...
Vikas Reddy, Conrad Sanderson, Brian C. Lovell
ACIVS
2007
Springer
15 years 6 months ago
Grass Detection for Picture Quality Enhancement of TV Video
Current image enhancement in televisions can be improved if the image is analyzed, objects of interest are segmented, and each segment is processed with specifically optimized alg...
Bahman Zafarifar, Peter H. N. de With
88
Voted
CRV
2005
IEEE
219views Robotics» more  CRV 2005»
15 years 6 months ago
People Tracking using Robust Motion Detection and Estimation
Real world computer vision systems highly depend on reliable, robust retrieval of motion cues to make accurate decisions about their surroundings. In this paper, we present a simp...
Markus Latzel, Emilie Darcourt, John K. Tsotsos
123
Voted
ICCV
2009
IEEE
2301views Computer Vision» more  ICCV 2009»
16 years 5 months ago
Class Segmentation and Object Localization with Superpixel Neighborhoods
We propose a method to identify and localize object classes in images. Instead of operating at the pixel level, we advocate the use of superpixels as the basic unit of a class s...
Brian Fulkerson, Andrea Vedaldi, Stefano Soatto