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» Object Recognition Using Segmentation for Feature Detection
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ICPR
2004
IEEE
16 years 2 months ago
Object Detection using Background Context
Detection of objects is in general a computationally demanding task. To simplify the problem it is of interest to utilize contextual information and perform a staggered recognitio...
Ola Ramström, Henrik I. Christensen
117
Voted
JMM2
2007
148views more  JMM2 2007»
15 years 1 months ago
Object Segmentation Using Background Modelling and Cascaded Change Detection
— The automatic extraction and analysis of visual information is becoming generalised. The first step in this processing chain is usually separating or segmenting the captured v...
Luís Filipe Teixeira, Jaime S. Cardoso, Lu&...
109
Voted
ICRA
2006
IEEE
106views Robotics» more  ICRA 2006»
15 years 7 months ago
Real-time Object Detection using Segmented and Grayscale Images
- This paper describes an approach that performs visual object detection in real-time by combining the strength of processing the color segmented image along with that of the grays...
Juan Fasola, Manuela M. Veloso
118
Voted
ICIP
2002
IEEE
16 years 3 months ago
Video object articulation using depth-based content segmentation approaches
In this paper two efficient unsupervised video object segmentation approaches are proposed and then extensively compared in terms of computational cost and quality of segmentation...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
124
Voted
CVPR
1999
IEEE
16 years 3 months ago
Generic Object Detection using Model Based Segmentation
This paper presents a novel approach for detection and segmentation of generic shapes in cluttered images. The underlying assumption is that generic objects that are man made, fre...
Zhiqian Wang, Jezekiel Ben-Arie