The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
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
International Journal of Computer Vision
Exploring the Space of a Human Action
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
A 3-dimensional sift descriptor and its application to action recognition
Proceedings of the 15th international conference on Multimedia
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
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
Action Recognition Using Mined Hierarchical Compound Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human detection using oriented histograms of flow and appearance
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Action recognition by dense trajectories
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Discovering discriminative action parts from mid-level video representations
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Discriminative figure-centric models for joint action localization and recognition
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Motion interchange patterns for action recognition in unconstrained videos
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
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Key-point trajectory based approaches to recognizing human actions in realistic videos have recently shown promising results. However, their coverage of the entire actor is not sufficient for describing human actions, and the trajectories often disappear due to partial occlusions. In this paper, we propose a novel approach based on weighted feature trajectories and concatenated bag-of-features (BOF) using weighted spatio-temporal descriptors to overcome these limitations. To capture spatio-temporal regions of interest (ROI), we first build scale-invariant feature transform (SIFT) trajectories based on matching SIFT descriptors. Then, we extract particle trajectories around the SIFT trajectories using dense optical flow to retain ROI subsidiarily and to give a sound coverage of the actors. For balancing the leverages between SIFT and particle trajectories, a weighting scheme is presented according to the accumulated global distribution of feature points. Furthermore, we propose the concatenated two distinct SIFT and particle BOFs with weighted spatio-temporal descriptors for action recognition. Experimental results demonstrate the effectiveness of this approach in challenging real-world action datasets such as KTH, UCF sports, and TV human interaction.