A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
View-Invariant Representation and Recognition of Actions
International Journal of Computer Vision
The Representation and Recognition of Human Movement Using Temporal Templates
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Recognition of human body motion using phase space constraints
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Recognizing Action at a Distance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Large-Scale Event Detection Using Semi-Hidden Markov Models
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Dynamic Human Pose Estimation using Markov Chain Monte Carlo Approach
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Space-Time Behavior Based Correlation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Actions Sketch: A Novel Action Representation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Asymmetrically boosted HMM for speech reading
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
3D human action recognition using spatio-temporal motion templates
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Learning, detection and representation of multi-agent events in videos
Artificial Intelligence
Distributed Continuous Action Recognition Using a Hidden Markov Model in Body Sensor Networks
DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
Review: The use of pervasive sensing for behaviour profiling - a survey
Pervasive and Mobile Computing
Fuzzy qualitative human motion analysis
IEEE Transactions on Fuzzy Systems
Motion Retrieval with Temporal-Spatial Features Based on Ensemble Learning
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
A survey on vision-based human action recognition
Image and Vision Computing
MAPACo-training: a novel online learning algorithm of behavior models
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Advances in view-invariant human motion analysis: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Action and gait recognition from recovered 3-D human joints
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Automatic key pose selection for 3D human action recognition
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Comparative study of segmentation of periodic motion data for mobile gait analysis
WH '10 Wireless Health 2010
A survey of vision-based methods for action representation, segmentation and recognition
Computer Vision and Image Understanding
Automatic workflow monitoring in industrial environments
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models
International Journal of Computer Vision
Hand gesture recognition with motion tracking on spatial-temporal filtering
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
Feature fusion for 3D hand gesture recognition by learning a shared hidden space
Pattern Recognition Letters
Bayesian filter based behavior recognition in workflows allowing for user feedback
Computer Vision and Image Understanding
Automatic Segmentation and Recognition in Body Sensor Networks Using a Hidden Markov Model
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on CAPA'09, Special Section on WHS'09, and Special Section VCPSS' 09
Hybrid generative-discriminative recognition of human action in 3D joint space
Proceedings of the 20th ACM international conference on Multimedia
Kernelized temporal cut for online temporal segmentation and recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
A method for online analysis of structured processes using bayesian filters and echo state networks
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
Exploring the Trade-off Between Accuracy and Observational Latency in Action Recognition
International Journal of Computer Vision
Tracking in object action space
Computer Vision and Image Understanding
Latent space segmentation for mobile gait analysis
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on Wireless Health Systems, On-Chip and Off-Chip Network Architectures
Online human gesture recognition from motion data streams
Proceedings of the 21st ACM international conference on Multimedia
Ongoing human action recognition with motion capture
Pattern Recognition
Pattern Recognition Letters
Charting-based subspace learning for video-based human action classification
Machine Vision and Applications
A top-down event-driven approach for concurrent activity recognition
Multimedia Tools and Applications
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Our goal is to automatically segment and recognize basic human actions, such as stand, walk and wave hands, from a sequence of joint positions or pose angles. Such recognition is difficult due to high dimensionality of the data and large spatial and temporal variations in the same action. We decompose the high dimensional 3-D joint space into a set of feature spaces where each feature corresponds to the motion of a single joint or combination of related multiple joints. For each feature, the dynamics of each action class is learned with one HMM. Given a sequence, the observation probability is computed in each HMM and a weak classifier for that feature is formed based on those probabilities. The weak classifiers with strong discriminative power are then combined by the Multi-Class AdaBoost (AdaBoost.M2) algorithm. A dynamic programming algorithm is applied to segment and recognize actions simultaneously. Results of recognizing 22 actions on a large number of motion capture sequences as well as several annotated and automatically tracked sequences show the effectiveness of the proposed algorithms.