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» Detection Based Low Frame Rate Human Tracking
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ICPR
2010
IEEE
15 years 1 months ago
Shape Guided Maximally Stable Extremal Region (MSER) Tracking
Maximally Stable Extremal Regions (MSERs) are one of the most prominent interest region detectors in computer vision due to their powerful properties and low computational demands...
Michael Donoser, Hayko Riemenschneider, Horst Bisc...
ICIP
2009
IEEE
14 years 9 months ago
Multichannel dual domain infrared target tracking for highly evolutionary target signatures
We introduce a new SIR particle filter that performs tracking in a joint feature space where pixel domain data are fused with measurements obtained from an 18-channel modulation d...
Colin M. Johnston, Nick A. Mould, Joseph P. Havlic...
ICPR
2006
IEEE
15 years 5 months ago
A Unified System for Segmentation and Tracking of Face and Hands in Sign Language Recognition
This paper presents a unified system for segmentation and tracking of face and hands in a sign language recognition using a single camera. Unlike much related work that uses colou...
George Awad, Junwei Han, Alistair Sutherland
IROS
2009
IEEE
191views Robotics» more  IROS 2009»
15 years 6 months ago
Development of high-speed and real-time vision platform, H3 vision
— In this paper, we introduce a high-speed vision platform, H3 (Hiroshima Hyper Human) Vision, which can simultaneously process a 1024× 1024 pixel image at 1000 fps and a 256× ...
Idaku Ishii, Taku Taniguchi, Ryo Sukenobe, Kenichi...
TROB
2008
118views more  TROB 2008»
14 years 11 months ago
A New Kalman-Filter-Based Framework for Fast and Accurate Visual Tracking of Rigid Objects
The best of Kalman-filter-based frameworks reported in the literature for rigid object tracking work well only if the object motions are smooth (which allows for tight uncertainty ...
Youngrock Yoon, Akio Kosaka, Avinash C. Kak