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Recent Developments in Human Motion Analysis

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Presentation on theme: "Recent Developments in Human Motion Analysis"— Presentation transcript:

1 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

2 Outline Potential application Detection Tracking Behavior analysis
Future researches

3 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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5 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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7 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

8 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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14 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

15 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)

16 Recognition and Description of Human Activities
Action recognition Template matching State-space approaches Semantic description

17 Further Researches Segmentation Occlusion handling
3-D modeling and tracking Use of multiple cameras Action understanding Performance evaluation


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