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» Probabilistic Object Tracking Using Multiple Features
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ICIP
2006
IEEE
16 years 8 months ago
Video Surveillance using Dynamic Configuration of Mutiple Active Cameras
In this paper, we present a coordinated video surveillance system that can minimize the spatial limitation and can precisely extract the 3D position of objects. To do this, our sy...
Nyoun Kim, Ig-Jae Kim, Hyoung-Gon Kim
FGR
2011
IEEE
271views Biometrics» more  FGR 2011»
14 years 9 months ago
Robust 3D hand tracking for human computer interaction
Abstract— We propose a system for human computer interaction via 3D hand movements, based on a combination of visual tracking and a cheap, off-the-shelf, accelerometer. We use a ...
Victor Adrian Prisacariu, Ian Reid
ECCV
2010
Springer
15 years 11 months ago
On Parameter Learning in CRF-based Approaches to Object Class Image Segmentation
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
MLDM
2005
Springer
15 years 12 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
SPIESR
1998
190views Database» more  SPIESR 1998»
15 years 7 months ago
NeTra-V: Toward an Object-Based Video Representation
We present here a prototype video analysis and retrieval system, called NeTra-V, that is being developed to build an object-based video representation for functionalities such as s...
Yining Deng, Debargha Mukherjee, B. S. Manjunath