Fundamentals of speech recognition
Fundamentals of speech recognition
Human motion analysis: a review
Computer Vision and Image Understanding
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pose-Based Clustering in Action Sequences
HLK '03 Proceedings of the First IEEE International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis
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
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Groups of Adjacent Contour Segments for Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
International Journal of Computer Vision
Semi-latent Dirichlet allocation: a hierarchical model for human action recognition
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Comparing evaluation protocols on the KTH dataset
HBU'10 Proceedings of the First international conference on Human behavior understanding
Weakly Supervised Action Recognition Using Implicit Shape Models
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Recognizing Human Actions Using Key Poses
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Action Recognition Using Space-Time Shape Difference Images
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Pairwise Features for Human Action Recognition
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Action Recognition by Multiple Features and Hyper-Sphere Multi-class SVM
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Human action segmentation and recognition via motion and shape analysis
Pattern Recognition Letters
Part-based motion descriptor image for human action recognition
Pattern Recognition
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Machine Recognition of Human Activities: A Survey
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we utilize a line based pose representation to recognize human actions in videos. We represent the pose in each frame by employing a collection of line-pairs, so that limb and joint movements are better described and the geometrical relationships among the lines forming the human figure are captured. We contribute to the literature by proposing a new method that matches line-pairs of two poses to compute the similarity between them. Moreover, to encapsulate the global motion information of a pose sequence, we introduce line-flow histograms, which are extracted by matching line segments in consecutive frames. Experimental results on Weizmann and KTH datasets emphasize the power of our pose representation, and show the effectiveness of using pose ordering and line-flow histograms together in grasping the nature of an action and distinguishing one from the others.