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ICMCS
2005
IEEE
201views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Head Tracking Using Particle Filter with Intensity Gradient and Color Histogram
This paper presents a method for tracking human head using a particle filter to naturally integrate two complementary cues: intensity gradient and color histogram. The shape of th...
Xinyu Xu, Baoxin Li
ICPR
2000
IEEE
15 years 10 months ago
Using Head Movement to Recognize Activity
This paper presents a methodology for automatically identifying human actions in either the frontal or the lateral view. By tracking the movement of the head of the subject over s...
Anant Madabhushi, J. K. Aggarwal
FGR
2006
IEEE
263views Biometrics» more  FGR 2006»
15 years 3 months ago
Robust Head Tracking Based on a Multi-State Particle Filter
This paper proposes a novel method for robust and automatic realtime head tracking by fusing face and head cues within a multi-state particle filter. Due to large appearance vari...
Yuan Li, Haizhou Ai, Chang Huang, Shihong Lao
ICCV
1999
IEEE
15 years 11 months ago
Using Model-Driven Bundle-Adjustment to Model Heads from Raw Video Sequences
We show that we can effectively and automatically fit a complex facial animation model to uncalibrated image sequences. Our approach is based on model-driven bundleadjustment foll...
Pascal Fua
ECCV
2004
Springer
15 years 2 months ago
An AR Human Computer Interface for Object Localization in a Cognitive Vision Framework
Abstract. In the European cognitive vision project VAMPIRE (IST2001-34401), mobile AR-kits are used for interactive teaching of a visual active memory. This is achieved by 3D augme...
Hannes Siegl, Gerald Schweighofer, Axel Pinz