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ICPR
2008
IEEE
16 years 2 months ago
Human tracking based on Soft Decision Feature and online real boosting
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
Hironobu Fujiyoshi, Masato Kawade, Shihong Lao, Ta...
ISVC
2010
Springer
14 years 12 months ago
Introducing Fuzzy Spatial Constraints in a Ranked Partitioned Sampling for Multi-object Tracking
Dealing with multi-object tracking in a particle filter raises several issues. A first essential point is to model possible interactions between objects. In this article, we repr...
Nicolas Widynski, Séverine Dubuisson, Isabe...
ICPR
2000
IEEE
16 years 2 months ago
Mixture Densities for Video Objects Recognition
The appearance of non-rigid objects detected and tracked in video streams is highly variable and therefore makes the identification of similar objects very complex. Furthermore, i...
Riad I. Hammoud, Roger Mohr
121
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AFRIGRAPH
2003
ACM
15 years 6 months ago
Development of a real time image based object recognition method for mobile AR-devices
In this paper we describe an image based object recognition and tracking method for mobile AR-devices and the correlative process to generate the required data. The object recogni...
Jürgen Gausemeier, Jürgen Fründ, Ca...
DAGM
2009
Springer
15 years 8 months ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters