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» Generic Object Detection using Model Based Segmentation
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DAGM
2006
Springer
15 years 6 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...

Publication
353views
15 years 3 months ago
Online Multi-Person Tracking-by-Detection from a Single, Uncalibrated Camera
In this paper, we address the problem of automatically detecting and tracking a variable number of persons in complex scenes using a monocular, potentially moving, uncalibrated ca...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
IOLTS
2002
IEEE
127views Hardware» more  IOLTS 2002»
15 years 7 months ago
Fault Tolerance Evaluation Using Two Software Based Fault Injection Methods
A silicon independent C-Based model of the TTP/C protocol was implemented within the EU-founded project FIT. The C-based model is integrated in the C-Sim simulation environment. T...
Astrit Ademaj, Petr Grillinger, Pavel Herout, Jan ...
TROB
2008
118views more  TROB 2008»
15 years 2 months ago
A New Kalman-Filter-Based Framework for Fast and Accurate Visual Tracking of Rigid Objects
The best of Kalman-filter-based frameworks reported in the literature for rigid object tracking work well only if the object motions are smooth (which allows for tight uncertainty ...
Youngrock Yoon, Akio Kosaka, Avinash C. Kak
ECCV
1992
Springer
15 years 6 months ago
Data and Model-Driven Selection using Color Regions
A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper w...
Tanveer Fathima Syeda-Mahmood