Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
ACM Computing Surveys (CSUR)
A Review of Nonlinear Diffusion Filtering
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Multiresolution Histograms and Their Use for Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing Human Actions: A Local SVM Approach
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
International Journal of Computer Vision
Behavior recognition via sparse spatio-temporal features
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
A 3-dimensional sift descriptor and its application to action recognition
Proceedings of the 15th international conference on Multimedia
Local velocity-adapted motion events for spatio-temporal recognition
Computer Vision and Image Understanding
An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Towards a Robust Spatio-Temporal Interest Point Detection for Human Action Recognition
CRV '09 Proceedings of the 2009 Canadian Conference on Computer and Robot Vision
Statistical Learning and Pattern Analysis for Image and Video Processing
Statistical Learning and Pattern Analysis for Image and Video Processing
A survey on vision-based human action recognition
Image and Vision Computing
Human Action Recognition Using Salient Opponent-Based Motion Features
CRV '10 Proceedings of the 2010 Canadian Conference on Computer and Robot Vision
Human activity analysis: A review
ACM Computing Surveys (CSUR)
Boosted multi-class semi-supervised learning for human action recognition
Pattern Recognition
Action recognition by dense trajectories
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
A Survey on Visual Content-Based Video Indexing and Retrieval
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Evaluation of Local Spatio-temporal Salient Feature Detectors for Human Action Recognition
CRV '12 Proceedings of the 2012 Ninth Conference on Computer and Robot Vision
Hi-index | 0.10 |
Human action recognition in video is important in many computer vision applications such as automated surveillance. Human actions can be compactly encoded using a sparse set of local spatio-temporal salient features at different scales. The existing bottom-up methods construct a single dictionary of action primitives from the joint features of all scales and hence, a single action representation. This representation cannot fully exploit the complementary characteristics of the motions across different scales. To address this problem, we introduce the concept of learning multiple dictionaries of action primitives at different resolutions and consequently, multiple scale-specific representations for a given video sample. Using a decoupled fusion of multiple representations, we improved the human classification accuracy of realistic benchmark databases by about 5%, compared with the state-of-the art methods.