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CLOR
2006
9 years 7 months ago
Object Detection and Localization Using Local and Global Features
Traditional approaches to object detection only look at local pieces of the image, whether it be within a sliding window or the regions around an interest point detector. However, ...
Kevin P. Murphy, Antonio B. Torralba, Daniel Eaton...
CVPR
2009
IEEE
9 years 7 months ago
Efficiently training a better visual detector with sparse eigenvectors
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...
DAGM
2007
Springer
9 years 7 months ago
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
Rezaul Karim, Martin Bergtholdt, Jörg H. Kapp...
CVPR
2010
IEEE
9 years 8 months ago
An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection
We introduce a method to accelerate the evaluation of object detection cascades with the help of a divide-andconquer procedure in the space of candidate regions. Compared to the e...
Christoph Lampert
ITCC
2002
IEEE
9 years 8 months ago
A Classified and Comparative Study of Edge Detection Algorithms
Since edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection algorithms. This paper introduces a...
Mohsen Sharifi, Mahmood Fathy, Maryam Tayefeh Mahm...
DAGM
2003
Springer
9 years 9 months ago
Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection
Recently Viola et al. have introduced a rapid object detection scheme based on a boosted cascade of simple feature classifiers. In this paper we introduce and empirically analysis ...
Rainer Lienhart, Alexander Kuranov, Vadim Pisarevs...
IWCM
2004
Springer
9 years 9 months ago
Tracking Complex Objects Using Graphical Object Models
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J...
KES
2005
Springer
9 years 9 months ago
Activity-Object Bayesian Networks for Detecting Occluded Objects in Uncertain Indoor Environment
Abstract. In the field of the service robots, object detection and scene understanding are very important. Conventional methods for object detection are performed with the geometri...
Youn-Suk Song, Sung-Bae Cho, Il Hong Suh
ICRA
2005
IEEE
134views Robotics» more  ICRA 2005»
9 years 9 months ago
Robust Object Detection at Regions of Interest with an Application in Ball Recognition
— In this paper, we present a new combination of a biologically inspired attention system (VOCUS – Visual Object detection with a CompUtational attention System) with a robust ...
Sara Mitri, Simone Frintrop, Kai Pervölz, Har...
ICMCS
2005
IEEE
153views Multimedia» more  ICMCS 2005»
9 years 9 months ago
Improved semantic region labeling based on scene context
Semantic region labeling in outdoor scenes, e.g., identifying sky, grass, foliage, water, and snow, facilitates content-based image retrieval, organization, and enhancement. A maj...
Matthew R. Boutell, Jiebo Luo, Christopher M. Brow...
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