Detecting Salient Motion by Accumulating Directionally-Consistent Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Real-Time Periodic Motion Detection, Analysis, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
'Dynamism of a Dog on a Leash' or Behavior Classification by Eigen-Decomposition of Periodic Motions
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Gait Sequence Analysis Using Frieze Patterns
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
EigenGait: Motion-Based Recognition of People Using Image Self-Similarity
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Hand motion gestural oscillations and multimodal discourse
Proceedings of the 5th international conference on Multimodal interfaces
Synchronization of oscillations for machine perception of gaits
Computer Vision and Image Understanding
Periodic Motion Detection and Estimation via Space-Time Sampling
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Detecting Pedestrians Using Patterns of Motion and Appearance
International Journal of Computer Vision
Statistical Analysis of Dynamic Actions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pedestrian Detection via Periodic Motion Analysis
International Journal of Computer Vision
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
Motion swarms: video interaction for art in complex environments
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Efficient multi-viewpoint acquisition of 3D objects undergoing repetitive motions
Proceedings of the 2007 symposium on Interactive 3D graphics and games
Motion pattern-based video classification and retrieval
EURASIP Journal on Applied Signal Processing
Spatio-temporal background models for outdoor surveillance
EURASIP Journal on Applied Signal Processing
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Synchronization of oscillations for machine perception of gaits
Computer Vision and Image Understanding
Minimal-latency human action recognition using reliable-inference
Image and Vision Computing
View-invariant analysis of periodic motion
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Behavior classification by eigendecomposition of periodic motions
Pattern Recognition
3D Reconstruction of Periodic Motion from a Single View
International Journal of Computer Vision
Applications of a simple characterization of human gait in surveillance
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
A survey of vision-based methods for action representation, segmentation and recognition
Computer Vision and Image Understanding
3-D hand trajectory recognition for signing exact English
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Matching gait image sequences in the frequency domain for tracking people at a distance
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
ASB'03 Proceedings of the 1st international conference on Advanced Studies in Biometrics
Fast detection of frequent change in focus of human attention
WAPCV'04 Proceedings of the Second international conference on Attention and Performance in Computational Vision
Efficient spatio-temporal edge descriptor
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Reconstructing and analyzing periodic human motion from stationary monocular views
Computer Vision and Image Understanding
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An algorithm for simultaneous detection, segmentation, and characterization of spatiotemporal periodicity is presented. The use of periodicity templates is proposed to localize and characterize temporal activities. The templates not only indicate the presence and location of a periodic event, but also give an accurate quantitative periodicity measure. Hence, they can be used as a new means of periodicity representation. The proposed algorithm can also be considered as a "periodicity filter" a low-level model of periodicity perception. The algorithm is computationally simple, and shown to be more robust than optical flow based techniques in the presence of noise. A variety of real-world examples are used to demonstrate the performance of the algorithm.