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» Integrating Multiple Model Views for Object Recognition
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ICCV
2005
IEEE
16 years 5 months ago
Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and p...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
137
Voted
ICRA
2008
IEEE
288views Robotics» more  ICRA 2008»
15 years 10 months ago
Human tracking and segmentation supported by silhouette-based gait recognition
— Gait recognition has recently gained attention as an effective approach to identify individuals at a distance from a camera. Most existing gait recognition algorithms assume th...
Junqiu Wang, Yasushi Makihara, Yasushi Yagi
CVPR
1998
IEEE
15 years 7 months ago
Appearance Based Behavior Recognition by Event Driven Selective Attention
Most of behavior recognition methods proposed so far share the limitations of bottom-up analysis, and singleobject assumption; the bottom-up analysis can be confused by erroneous ...
Toshikazu Wada, Takashi Matsuyama
167
Voted
ECOOPW
2003
Springer
15 years 9 months ago
Modeling Variability for Object-Oriented Product Lines
The concept of a software product line is a promising approach for increasing planned reusability in industry. For planning future requirements, the integration of domain analysis ...
Matthias Riebisch, Detlef Streitferdt, Ilian Pasho...
DAGM
2003
Springer
15 years 9 months ago
Training and Recognition of Complex Scenes Using a Holistic Statistical Model
We present a holistic statistical model for the automatic analysis of complex scenes. Here, holistic refers to an integrated approach that does not take local decisions about segme...
Daniel Keysers, Michael Motter, Thomas Deselaers, ...