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CVIU
2010
429views more  CVIU 2010»
13 years 10 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...
ICMCS
2010
IEEE
164views Multimedia» more  ICMCS 2010»
13 years 10 months ago
Exploiting multimodal data fusion in robust speech recognition
This article introduces automatic speech recognition based on Electro-Magnetic Articulography (EMA). Movements of the tongue, lips, and jaw are tracked by an EMA device, which are...
Panikos Heracleous, Pierre Badin, Gérard Ba...
WACV
2005
IEEE
14 years 3 months ago
Automatic 2D Hand Tracking in Video Sequences
In gesture and sign language video sequences, hand motion tends to be rapid, and hands frequently appear in front of each other or in front of the face. Thus, hand location is oft...
Quan Yuan, Stan Sclaroff, Vassilis Athitsos
ICRA
2006
IEEE
139views Robotics» more  ICRA 2006»
14 years 4 months ago
Tracking Unobservable Rotations by Cue Integration
— Model based object tracking has earned significant importance in areas such as augmented reality, surveillance, visual servoing, robotic object manipulation and grasping. Alth...
Ville Kyrki, Danica Kragic
ICCS
2005
Springer
14 years 3 months ago
Dynamic Data Driven Coupling of Continuous and Discrete Methods for 3D Tracking
We present a new framework for robust 3D tracking, using a dynamic data driven coupling of continuous and discrete methods to overcome their limitations. Our method uses primarily ...
Dimitris N. Metaxas, Gabriel Tsechpenakis