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Recent Developments in Human Motion Analysis
Liang Wang, Weiming Hu, Tieniu Tan Chinese Academy of Sciences, Beijing, People’s Republic of China 2002 Pattern Recognition
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Outline Potential application Detection Tracking Behavior analysis
Future researches
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Potential Applications
Visual surveillance Tracking and recognition techniques of face and gait Advanced user interface Control and command by speech, gestures, body poses, facial expressions, etc. Motion-based diagnosis and identification Medical diagnosis, sports, orthopedic patients, choreography
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Motion Detection Human detection aims at segmenting regions corresponding to people from the rest of an image. Motion segmentation Background subtraction Statistical methods Temporal differencing Optical flow
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Motion Detection Object classification
The purpose of moving object classification is to precisely extract the region corresponding to people from all moving blobs obtained by the motion segmentation methods. Shape-based NN classifier Motion-based Periodic property Residual flow
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Human Tracking Useful mathematical tools Different classification
Kalman filter Condensation algorithm Dynamic Bayesian network Different classification Hand, face, leg, whole body Single-view, multiple-view, omni-directional view 2-D, 3-D Indoors, outdoors Single human, multiple human, human groups Moving, stationary Monocular, stereo
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Human Tracking Model-based Region-based (fig.)
Stick figure (fig.) 2-D contour (fig.) Volumetric models (fig.) Region-based (fig.) Active-contour-based (fig.) Feature-based
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Recognition and Description of Human Activities
Behavior understanding is to analyze and recognize human motion patterns, and to produce high-level description of actions and interactions. General techniques Dynamic time warping (DTW) Hidden Markov models (HMMs) Neural network (NN)
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Recognition and Description of Human Activities
Action recognition Template matching State-space approaches Semantic description
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Further Researches Segmentation Occlusion handling
3-D modeling and tracking Use of multiple cameras Action understanding Performance evaluation
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