Conditional models for contextual human motion recognition
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Extracting relevant named entities for automated expense reimbursement
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Hidden Conditional Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
BM3E: Discriminative Density Propagation for Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Conditional random fields for activity recognition
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Computer Vision and Image Understanding
Searching for Complex Human Activities with No Visual Examples
International Journal of Computer Vision
Continuous Hand Gesture Recognition in the Learned Hierarchical Latent Variable Space
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Applying Space State Models in Human Action Recognition: A Comparative Study
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Histogram of oriented rectangles: A new pose descriptor for human action recognition
Image and Vision Computing
Constrained optimization for validation-guided conditional random field learning
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Human action recognition by feature-reduced Gaussian process classification
Pattern Recognition Letters
Mumford-Shah regularizer with contextual feedback
Journal of Mathematical Imaging and Vision
Recognizing events with temporal random forests
Proceedings of the 2009 international conference on Multimodal interfaces
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Spatio-temporal event detection using dynamic conditional random fields
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Recognizing Gestures for Virtual and Real World Interaction
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Group Action Recognition Using Space-Time Interest Points
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Object relevance weight pattern mining for activity recognition and segmentation
Pervasive and Mobile Computing
Discriminative human action recognition in the learned hierarchical manifold space
Image and Vision Computing
Learning to recognize complex actions using conditional random fields
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Human action recognition using distribution of oriented rectangular patches
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Characteristic-based descriptors for motion sequence recognition
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Graphical framework for action recognition using temporally dense STIPs
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
Human action recognition using a dynamic Bayesian action network with 2D part models
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Accurate person tracking through changing poses for multi-view action recognition
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
A survey of vision-based methods for action representation, segmentation and recognition
Computer Vision and Image Understanding
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models
International Journal of Computer Vision
International Journal of Computational Vision and Robotics
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Blinking-based live face detection using conditional random fields
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Incremental behavior modeling and suspicious activity detection
Pattern Recognition
Modeling speaker behavior: a comparison of two approaches
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
Tool wear state recognition based on linear chain conditional random field model
Engineering Applications of Artificial Intelligence
Hierarchical multi-channel hidden semi Markov graphical models for activity recognition
Computer Vision and Image Understanding
One-shot learning gesture recognition from RGB-D data using bag of features
The Journal of Machine Learning Research
Hi-index | 0.00 |
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). Existing approaches to this problem typically use generative (joint) structures like the Hidden Markov Model (HMM). Therefore they have to make simplifying, often unrealistic assumptions on the conditional independence of observations given the motion class labels and cannot accommodate overlapping features or long term contextual dependencies in the observation sequence. In contrast, conditional models like the CRFs seamlessly represent contextual dependencies, support efficient, exact inference using dynamic programming, and their parameters can be trained using convex optimization. We introduce conditional graphical models as complementary tools for human motion recognition and present an extensive set of experiments that show how these typically outperform HMMs in classifying not only diverse human activities like walking, jumping, running, picking or dancing, but also for discriminating among subtle motion styles like normal walk and wander walk.