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» A bottom-up framework for robust facial feature detection
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ICIP
2009
IEEE
14 years 7 months ago
Object tracking by bidirectional learning with feature selection
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
Heng Wang, Xinwen Hou, Cheng-Lin Liu
ACCV
2006
Springer
15 years 3 months ago
Attractor-Guided Particle Filtering for Lip Contour Tracking
Abstract. We present a lip contour tracking algorithm using attractorguided particle filtering. Usually it is difficult to robustly track the lip contour because the lip contour i...
Yong-Dian Jian, Wen-Yan Chang, Chu-Song Chen

Publication
285views
15 years 8 months ago
Bilateral Symmetry Detection and Segmentation via Symmetry-Growing
We present a novel and robust method for localizing and segmenting bilaterally symmetric patterns from real-world images. On the basis of symmetrically matched pairs of local featu...
Minsu Cho (Seoul National University), Kyoung Mu L...
SPIESR
2003
136views Database» more  SPIESR 2003»
14 years 11 months ago
Automatic Soccer Video Analysis and Summarization
Abstract—We propose a fully automatic and computationally efficient framework for analysis and summarization of soccer videos using cinematic and object-based features. The propo...
Ahmet Ekin, A. Murat Tekalp
ICASSP
2011
IEEE
14 years 1 months ago
Feature selection through gravitational search algorithm
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimi...
João Paulo Papa, Andre Pagnin, Silvana Arti...