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Displaying 1-6 out of 6 total
Computation of Rotation Local Invariant Features using the Integral Image for Real Time Object Detection
Found in: Pattern Recognition, International Conference on
By Michael Villamizar, Alberto Sanfeliu, Juan Andrade-Cetto
Issue Date:August 2006
pp. 81-85
We present a framework for object detection that is invariant to object translation, scale, rotation, and to some degree, occlusion, achieving high detection rates, at 14 fps in color images and at 30 fps in gray scale images. Our approach is based on boos...
 
Shared Random Ferns for Efficient Detection of Multiple Categories
Found in: Pattern Recognition, International Conference on
By Michael Villamizar, Francesc Moreno-Noguer, Juan Andrade-Cetto, Alberto Sanfeliu
Issue Date:August 2010
pp. 388-391
We propose a new algorithm for detecting multiple object categories that exploits the fact that different categories may share common features but with different geometric distributions. This yields an efficient detector which, in contrast to existing appr...
 
Efficient rotation invariant object detection using boosted Random Ferns
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Michael Villamizar, Francesc Moreno-Noguer, Juan Andrade-Cetto, Alberto Sanfeliu
Issue Date:June 2010
pp. 1038-1045
We present a new approach for building an efficient and robust classifier for the two class problem, that localizes objects that may appear in the image under different orientations. In contrast to other works that address this problem using multiple class...
 
3D Real-Time Head Tracking Fusing Color Histograms and Stereovision
Found in: Pattern Recognition, International Conference on
By Francesc Moreno, AdriĆ  Tarrida, Juan Andrade-Cetto, Alberto Sanfeliu
Issue Date:August 2002
pp. 10368
A system that performs the tracking of a human head in 3D in real time is presented. The head shape is modeled by an ellipse with a trained color histogram of skin and hair samples. The color histogram is dynamically updated based on incoming image data in...
 
Concurrent Map Building and Localization with Landmark Validation
Found in: Pattern Recognition, International Conference on
By Juan Andrade-Cetto, Alberto Sanfeliu
Issue Date:August 2002
pp. 20693
This communication addresses the issue of concurrent map building and localization (CML) for a mobile robot in an unknown environment. The proposed solution extends over previous contributions in that the environment must not be static, nor the landmarks b...
 
Integration of Perceptual Grouping and Depth
Found in: Pattern Recognition, International Conference on
By Juan Andrade-Cetto, Alberto Sanfeliu
Issue Date:September 2000
pp. 1295
Different data acquisition methods are tailored at extracting particular characteristics from a scene and by combining their results, a more robust scene description can be created. A method to fuse perceptual groupings extracted from color-based segmentat...
 
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