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DAGM
2008
Springer
14 years 11 months ago
A Multiple Kernel Learning Approach to Joint Multi-class Object Detection
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
Christoph H. Lampert, Matthew B. Blaschko
CVPR
2005
IEEE
15 years 11 months ago
Isophote Properties as Features for Object Detection
Usually, object detection is performed directly on (normalized) gray values or gray primitives like gradients or Haar-like features. In that case the learning of relationships bet...
Jeroen Lichtenauer, Emile A. Hendriks, Marcel J. T...
CVPR
2007
IEEE
15 years 11 months ago
Recognizing objects by piecing together the Segmentation Puzzle
We present an algorithm that recognizes objects of a given category using a small number of hand segmented images as references. Our method first over segments an input image into...
Jianbo Shi, Timothée Cour
ICCV
1995
IEEE
15 years 1 months ago
Geodesic Active Contours
A novel scheme for the detection of object boundaries is presented. The technique is based on active contours evolving in time according to intrinsic geometric measures of the imag...
Vicent Caselles, Ron Kimmel, Guillermo Sapiro
ECCV
2002
Springer
15 years 11 months ago
Tracking and Object Classification for Automated Surveillance
In this paper we discuss the issues that need to be resolved before fully automated outdoor surveillance systems can be developed, and present solutions to some of these problems. ...
Omar Javed, Mubarak Shah