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» Detection and Tracking of Facial Features in Video Sequences
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ICIP
2008
IEEE
15 years 11 months ago
Estimation and representation of accumulated motion characteristics for semantic event detection
In this paper, a motion-based approach for detecting high-level semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be dire...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
ISVC
2010
Springer
14 years 8 months ago
Bivariate Feature Localization for SIFT Assuming a Gaussian Feature Shape
In this paper, the well-known SIFT detector is extended with a bivariate feature localization. This is done by using function models that assume a Gaussian feature shape for the de...
Kai Cordes, Oliver Müller, Bodo Rosenhahn, J&...
ACCV
2009
Springer
15 years 4 months ago
Visual Saliency Based Object Tracking
Abstract. This paper presents a novel method of on-line object tracking with the static and motion saliency features extracted from the video frames locally, regionally and globall...
Geng Zhang, Zejian Yuan, Nanning Zheng, Xingdong S...
AMFG
2005
IEEE
217views Biometrics» more  AMFG 2005»
15 years 3 months ago
An Investigation of Model Bias in 3D Face Tracking
3D tracking of faces in video streams is a difficult problem that can be assisted with the use of a priori knowledge of the structure and appearance of the subject’s face at pred...
Douglas Fidaleo, Gérard G. Medioni, Pascal ...
AMDO
2004
Springer
15 years 1 months ago
3D Human Walking Modeling
This paper presents a new approach for 3D human walking modeling from monocular image sequences. An efficient feature point selection and tracking approach has been used to compute...
Angel Domingo Sappa, Niki Aifanti, Sotiris Malassi...