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

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

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

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