Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Multiple-Instance Learning for Natural Scene Classification
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing Action at a Distance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Recognizing Human Actions: A Local SVM Approach
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
MILES: Multiple-Instance Learning via Embedded Instance Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Searching for Complex Human Activities with No Visual Examples
International Journal of Computer Vision
Extracting Moving People from Internet Videos
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
Human Activity Recognition with Metric Learning
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Expert Systems with Applications: An International Journal
Sparse Modeling of Human Actions from Motion Imagery
International Journal of Computer Vision
Compact and adaptive spatial pyramids for scene recognition
Image and Vision Computing
Trajectory signature for action recognition in video
Proceedings of the 20th ACM international conference on Multimedia
Categorizing turn-taking interactions
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Combinational subsequence matching for human identification from general actions
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Action recognition using canonical correlation kernels
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Learning latent spatio-temporal compositional model for human action recognition
Proceedings of the 21st ACM international conference on Multimedia
Classifying web videos using a global video descriptor
Machine Vision and Applications
Robust action recognition using local motion and group sparsity
Pattern Recognition
Human activity recognition using multi-features and multiple kernel learning
Pattern Recognition
Matching mixtures of curves for human action recognition
Computer Vision and Image Understanding
Graph-based approach for human action recognition using spatio-temporal features
Journal of Visual Communication and Image Representation
Machine Vision and Applications
Activity representation with motion hierarchies
International Journal of Computer Vision
Hi-index | 0.00 |
In many cases, human actions can be identified not only by the singular observation of the human body in motion, but also properties of the surrounding scene and the related objects. In this paper, we look into this problem and propose an approach for human action recognition that integrates multiple feature channels from several entities such as objects, scenes and people. We formulate the problem in a multiple instance learning (MIL) framework, based on multiple feature channels. By using a discriminative approach, we join multiple feature channels embedded to the MIL space. Our experiments over the large YouTube dataset show that scene and object information can be used to complement person features for human action recognition.