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ICIP
2006
IEEE
16 years 4 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
175
Voted
CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
15 years 9 months ago
Adaptive Object Tracking using Particle Swarm Optimization
—This paper presents an automatic object detection and tracking algorithm by using particle swarm optimization (PSO) based method, which is a searching algorithm inspired by the ...
Yuhua Zheng, Yan Meng
TSMC
2008
162views more  TSMC 2008»
15 years 2 months ago
Real-Time Motion Segmentation of Sparse Feature Points at Any Speed
Abstract--We present a real-time incremental approach to motion segmentation operating on sparse feature points. In contrast to previous work, the algorithm allows for a variable n...
Shrinivas J. Pundlik, Stanley T. Birchfield
139
Voted
MVA
2007
114views Computer Vision» more  MVA 2007»
15 years 4 months ago
Sign Language Recognition Using Boosted Volumetric Features
This paper proposes a method for sign language recognition that bypasses the need for tracking by classifying the motion directly. The method uses the natural extension of haar li...
Helen Cooper, Richard Bowden
106
Voted
IROS
2006
IEEE
131views Robotics» more  IROS 2006»
15 years 8 months ago
Implementing Planar Motion Tracking Algorithms on CMOS+FPGA Vision System
— This paper describes a 1,000Hz visual feedback using the CMOS+FPGA vision. It is required to obtain positional and angular signals around 1,000Hz to control a mechanical system...
Kazuhiro Shimizu, Shinichi Hirai