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» Classifier Grids for Robust Adaptive Object Detection
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CVPR
2010
IEEE
14 years 3 months ago
On-line Semi-supervised Multiple-Instance Boosting
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
Bernhard Zeisl, Christian Leistner, Amir Saffari, ...
TFS
2008
127views more  TFS 2008»
13 years 7 months ago
An Intelligent System for Machinery Condition Monitoring
A reliable monitoring system is critically needed in a wide range of industries to detect the occurrence of a fault to prevent machinery performance degradation, malfunction, and s...
Wilson Wang
EMMCVPR
2005
Springer
14 years 1 months ago
Extraction of Layers of Similar Motion Through Combinatorial Techniques
In this paper we present a new technique to extract layers in a video sequence. To this end, we assume that the observed scene is composed of several transparent layers, that their...
Romain Dupont, Nikos Paragios, Renaud Keriven, Phi...
ICPR
2006
IEEE
14 years 8 months ago
Forest Extension of Error Correcting Output Codes and Boosted Landmarks
In this paper, we introduce a robust novel approach for detecting objects category in cluttered scenes by generating boosted contextual descriptors of landmarks. In particular, ou...
Oriol Pujol, Petia Radeva, Sergio Escalera
ISCIS
2003
Springer
14 years 22 days ago
Improved POCS-Based De-blocking Algorithm for Block-Transform Compressed Images
This paper presents a postprocessing technique based on the theory of projections onto convex sets (POCS) to reduce the blocking artifacts in low bit rate BDCT-coded images. In the...
Yoon Kim, Chun-Su Park, Kyunghun Jang, Sung-Jea Ko