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» Selecting relevant features for human motion recognition
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PERCOM
2010
ACM
13 years 6 months ago
All for one or one for all? Combining heterogeneous features for activity spotting
Abstract—Choosing the right feature for motion based activity spotting is not a trivial task. Often, features derived by intuition or that proved to work well in previous work ar...
Ulf Blanke, Bernt Schiele, Matthias Kreil, Paul Lu...
ICPR
2002
IEEE
14 years 8 months ago
Fusion of Global and Local Features for Face Verification
In this paper, a novel personalized feature combination scheme is proposed for face verification. ANFIS (Adaptive Neuro-Fuzzy Inference System) and SVM (Support Vector Machine) ar...
Yuchun Fang, Tieniu Tan, Yunhong Wang
ICPR
2008
IEEE
14 years 9 months ago
Gait recognition by dynamic cues
Many studies have now shown that it is possible to recognize people by the way they walk. As yet there has been little formal study of people recognition using the kinematic-relat...
Imed Bouchrika, Mark S. Nixon
CGI
2006
IEEE
14 years 1 months ago
An Efficient Keyframe Extraction from Motion Capture Data
This paper proposes a keyframe extraction method based on a novel layered curve simplification algorithm for motion capture data. Bone angles are employed as motion features and ke...
Jun Xiao, Yueting Zhuang, Tao Yang, Fei Wu
ICCV
2007
IEEE
14 years 9 months ago
A Biologically Inspired System for Action Recognition
We present a biologically-motivated system for the recognition of actions from video sequences. The approach builds on recent work on object recognition based on hierarchical feed...
Hueihan Jhuang, Thomas Serre, Lior Wolf, Tomaso Po...