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» Probabilistic Object Tracking Using Multiple Features
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ICIP
2006
IEEE
14 years 11 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen
ECCV
2010
Springer
14 years 2 months ago
Joint People, Event, and Location Recognition in Personal Photo Collections using Cross-Domain Context
Abstract. We present a framework for vision-assisted tagging of personal photo collections using context. Whereas previous efforts mainly focus on tagging people, we develop a uni...
IROS
2006
IEEE
131views Robotics» more  IROS 2006»
14 years 3 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
AMDO
2004
Springer
14 years 2 months ago
Real Time Segmentation and Tracking of Face and Hands in VR Applications
We describe a robust real-time 3D tracking system of the extreme limbs of the upper human body, i.e., the hands and the face. The goal of the system is that it can be used as a per...
Jose Maria Buades Rubio, Francisco J. Perales L&oa...
IVC
2006
99views more  IVC 2006»
13 years 9 months ago
People tracking in surveillance applications
This paper presents a real-time algorithm that allows robust tracking of multiple objects in complex environments. Foreground pixels are detected using luminance contrast and grou...
Luis M. Fuentes, Sergio A. Velastin