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» Online Selection of Tracking Features using AdaBoost
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IROS
2006
IEEE
163views Robotics» more  IROS 2006»
15 years 10 months ago
Attentional Landmark Selection for Visual SLAM
— In this paper, we introduce a new method to automatically detect useful landmarks for visual SLAM. A biologically motivated attention system detects regions of interest which â...
Simone Frintrop, Patric Jensfelt, Henrik I. Christ...
SI3D
2003
ACM
15 years 9 months ago
Interactive image-based rendering using feature globalization
Image-based rendering (IBR) systems enable virtual walkthroughs of photorealistic environments by warping and combining reference images to novel viewpoints under interactive user...
Daniel G. Aliaga, Dimah Yanovsky, Thomas A. Funkho...
146
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MVA
2008
140views Computer Vision» more  MVA 2008»
15 years 4 months ago
An occlusion metric for selecting robust camera configurations
Vision based tracking systems for surveillance and motion capture rely on a set of cameras to sense the environment. The exact placement or configuration of these cameras can have...
Xing Chen, James Davis
ICPR
2010
IEEE
15 years 9 months ago
Multi-Modal Emotion Recognition Using Canonical Correlations and Acoustic Features
The information of the psycho-physical state of the subject is becoming a valuable addition to the modern audio or video recognition systems. As well as enabling a better user exp...
Rok Gajsek, Vitomir Struc, France Mihelic
AINA
2006
IEEE
15 years 10 months ago
Combinatorial Fusion Criteria for Real-Time Tracking
We address the problem of automated video tracking of targets when targets undergo multiple mutual occlusions. Our approach is based on the idea that as targets are occluded, sele...
D. Frank Hsu, Damian M. Lyons, Jizhou Ai