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DAGM
2009
Springer
14 years 1 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
MM
2010
ACM
462views Multimedia» more  MM 2010»
13 years 7 months ago
KPB-SIFT: a compact local feature descriptor
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Gangqiang Zhao, Ling Chen, Gencai Chen, Junsong Yu...
CVIU
2010
429views more  CVIU 2010»
13 years 6 months ago
Cascade of descriptors to detect and track objects across any network of cameras
Most multi-camera systems assume a well structured environment to detect and track objects across cameras. Cameras need to be fixed and calibrated, or only objects within a traini...
Alexandre Alahi, Pierre Vandergheynst, Michel Bier...
FGR
1998
IEEE
268views Biometrics» more  FGR 1998»
13 years 11 months ago
A Virtual Mirror Interface Using Real-Time Robust Face Tracking
We describe a virtual mirror interface which can react to people using robust, real-time face tracking. Our display can directly combine a user's face with various graphical ...
Trevor Darrell, Gaile G. Gordon, John Woodfill, Mi...
ICPR
2008
IEEE
14 years 8 months ago
CDIKP: A highly-compact local feature descriptor
A new feature descriptor is presented for object and scene recognition. The new approach, called CDIKP, uniquely combines the scale-invariant feature detection with a robust proje...
Quan Wang, Suya You, Yun-Ta Tsai