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MVA
1990
14 years 11 months ago
Region Tracking through Neural Classifier
We present herein a classificationof regions from an image which is based on textural measurements.It aims to distinguish groups of regions having the sameclass among a pre-establ...
Patrick Thévenoux, Pascal Vincent
FGCN
2008
IEEE
131views Communications» more  FGCN 2008»
15 years 4 months ago
Object Tracking of Mobile Robot Using Moving Color and Shape Information for the Aged Walking
A mobile robot with various types of sensors via ubiquitous networks is introduced. We designed a mobile robot composed of TCP/IP network, wireless camera and several sensors in a...
Sanghoon Kim, Sangmu Lee, Seungjong Kim
MVA
2002
215views Computer Vision» more  MVA 2002»
14 years 9 months ago
Robust Tracking Algorithm Based on Color and Edge Distribution for Real-time Video Based Motion Capture Systems
This paper describes a robust tracking algorithm for real-time, video based motion capture systems. Conventional motion capture systems are unable to capture motion data in real t...
Yoshiaki Akazawa, Yoshihiro Okada, Koichi Niijima
CVPR
1998
IEEE
15 years 12 months ago
Using Adaptive Tracking to Classify and Monitor Activities in a Site
We describe a vision system that monitors activity in a site over extended periods of time. The system uses a distributed set of sensors to cover the site, and an adaptive tracker...
W. Eric L. Grimson, Chris Stauffer, R. Romano, L. ...
ICIP
2009
IEEE
14 years 7 months ago
An incremental extremely random forest classifier for online learning and tracking
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Aiping Wang, Guowei Wan, Zhiquan Cheng, Sikun Li