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» Real-time gesture recognition using deterministic boosting
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MM
2004
ACM
145views Multimedia» more  MM 2004»
14 years 3 months ago
Segmentation and recognition of multi-attribute motion sequences
In this work, we focus on fast and efficient recognition of motions in multi-attribute continuous motion sequences. 3D motion capture data, animation motion data, and sensor data ...
Chuanjun Li, Peng Zhai, Si-Qing Zheng, Balakrishna...
PAMI
2010
249views more  PAMI 2010»
13 years 8 months ago
A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models
—In this work we propose a dynamic-texture-based approach to the recognition of facial Action Units (AUs, atomic facial gestures) and their temporal models (i.e., sequences of te...
Sander Koelstra, Maja Pantic, Ioannis Patras
IVC
2006
187views more  IVC 2006»
13 years 9 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
RIAO
2000
13 years 11 months ago
Multimodal Meeting Tracker
Face-to-face meetings usually encompass several modalities including speech, gesture, handwriting, and person identification. Recognition and integration of each of these modaliti...
Michael Bett, Ralph Gross, Hua Yu, Xiaojin Zhu, Yu...
ICPR
2008
IEEE
14 years 4 months ago
Human activities: Handling uncertainties using fuzzy time intervals
Persons may perform an activity in many different styles, or noise may cause an identical activity to have different temporal structures. We present a robust methodology for recog...
Michael S. Ryoo, Jake K. Aggarwal