Reconstruction of articulated objects from point correspondences in a single uncalibrated image
Computer Vision and Image Understanding
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating anthropometry and pose from a single uncalibrated image
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
View-Invariant Representation and Recognition of Actions
International Journal of Computer Vision
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Learning visual behavior for gesture analysis
ISCV '95 Proceedings of the International Symposium on Computer Vision
Task clustering and gating for bayesian multitask learning
The Journal of Machine Learning Research
Recognizing Action at a Distance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Regularized multi--task learning
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
View-Invariant Human Activity Recognition Based on Shape and Motion Features
ISMSE '04 Proceedings of the IEEE Sixth International Symposium on Multimedia Software Engineering
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Learning Object Shape: From Drawings to Images
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
The Journal of Machine Learning Research
Free viewpoint action recognition using motion history volumes
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Boosting for transfer learning
Proceedings of the 24th international conference on Machine learning
Cross-domain transfer for reinforcement learning
Proceedings of the 24th international conference on Machine learning
Multi-task reinforcement learning: a hierarchical Bayesian approach
Proceedings of the 24th international conference on Machine learning
Maximum margin clustering made practical
Proceedings of the 24th international conference on Machine learning
A 3-dimensional sift descriptor and its application to action recognition
Proceedings of the 15th international conference on Multimedia
Learning from Relevant Tasks Only
ECML '07 Proceedings of the 18th European conference on Machine Learning
Human Activity Recognition with Metric Learning
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Human action learning via hidden Markov model
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Multiview activity recognition in smart homes with spatio-temporal features
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
On efficient use of multi-view data for activity recognition
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Making action recognition robust to occlusions and viewpoint changes
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
A survey of vision-based methods for action representation, segmentation and recognition
Computer Vision and Image Understanding
ACAI '11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence
Human action recognition based on random spectral regression
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Human action recognition using multiple views: a comparative perspective on recent developments
J-HGBU '11 Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding
Learning semantic features for action recognition via diffusion maps
Computer Vision and Image Understanding
Intelligent multi-camera video surveillance: A review
Pattern Recognition Letters
Discovering latent domains for multisource domain adaptation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Action recognition using subtensor constraint
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
View-Invariant action recognition using latent kernelized structural SVM
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Attribute discovery via predictable discriminative binary codes
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Recognizing actions across cameras by exploring the correlated subspace
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Cross-View action recognition based on statistical machine translation
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Transfer discriminant-analysis of canonical correlations for view-transfer action recognition
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
View invariant action recognition using weighted fundamental ratios
Computer Vision and Image Understanding
Computer Vision and Image Understanding
Recognizing activities in multiple views with fusion of frame judgments
Image and Vision Computing
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Appearance features are good at discriminating activities in a fixed view, but behave poorly when aspect is changed. We describe a method to build features that are highly stable under change of aspect. It is not necessary to have multiple views to extract our features. Our features make it possible to learn a discriminative model of activity in one view, and spot that activity in another view, for which one might poses no labeled examples at all. Our construction uses labeled examples to build activity models, and unlabeled, but corresponding, examples to build an implicit model of how appearance changes with aspect. We demonstrate our method with challenging sequences of real human motion, where discriminative methods built on appearance alone fail badly.