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» Toward Objective Evaluation of Image Segmentation Algorithms
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JEI
2007
199views more  JEI 2007»
15 years 3 months ago
New benchmark for image segmentation evaluation
Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundame...
Feng Ge, Song Wang, Tiecheng Liu
ECCV
2004
Springer
16 years 5 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
ICIP
2004
IEEE
16 years 5 months ago
Evaluation of shadow classification techniques for object detection and tracking
In a football stadium environment with multiple overhead floodlights, many protruding shadows can be observed originating from each of the targets. To successfully track individua...
John-Paul Renno, James Orwell, Graeme A. Jones
CVPR
2005
IEEE
16 years 5 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002
ICPR
2006
IEEE
16 years 4 months ago
Pixel-Accurate Representation and Evaluation of Page Segmentation in Document Images
This paper presents a new representation and evaluation procedure of page segmentation algorithms and analyzes six widely-used layout analysis algorithms using the procedure. The ...
Daniel Keysers, Faisal Shafait, Thomas M. Breuel