Matrix computations (3rd ed.)
Parameterized modeling and recognition of activities
Computer Vision and Image Understanding
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
View-Invariant Representation and Recognition of Actions
International Journal of Computer Vision
Recognizing and Tracking Human Action
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Learning and Recognizing Human Dynamics in Video Sequences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Recognizing Action at a Distance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Galilean-Diagonalized Spatio-Temporal Interest Operators
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Space-Time Behavior Based Correlation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Actions Sketch: A Novel Action Representation
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
Efficient Visual Event Detection Using Volumetric Features
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Statistical Analysis of Dynamic Actions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Aligning sequences and actions by maximizing space-time correlations
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
State-of-the-art on spatio-temporal information-based video retrieval
Pattern Recognition
Visual localization of non-stationary sound sources
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Exploiting multi-level parallelism for low-latency activity recognition in streaming video
MMSys '10 Proceedings of the first annual ACM SIGMM conference on Multimedia systems
A survey on vision-based human action recognition
Image and Vision Computing
Volumetric Features for Video Event Detection
International Journal of Computer Vision
Comparing evaluation protocols on the KTH dataset
HBU'10 Proceedings of the First international conference on Human behavior understanding
Query-based retrieval of complex activities using "strings of motion-words"
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
HMM based action recognition with projection histogram features
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Video event detection as matching of spatiotemporal projection
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Pursuing atomic video words by information projection
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Computer Vision and Image Understanding
Spatio-temporal video representation with locality-constrained linear coding
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Fast human action classification and VOI localization with enhanced sparse coding
Journal of Visual Communication and Image Representation
Exploring trace transform for robust human action recognition
Pattern Recognition
MMU GASPFA: A COTS multimodal biometric database
Pattern Recognition Letters
Editor's Choice Article: Human activity recognition in videos using a single example
Image and Vision Computing
Continuous human action recognition in real time
Multimedia Tools and Applications
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We introduce a behavior-based similarity measure which tells us whether two different space-time intensity patterns of two different video segments could have resulted from a similar underlying motion field. This is done directly from the intensity information, without explicitly computing the underlying motions. Such a measure allows us to detect similarity between video segments of differently dressed people performing the same type of activity. It requires no foreground/background segmentation, no prior learning of activities, and no motion estimation or tracking. Using this behavior-based similarity measure, we extend the notion of 2-dimensional image correlation into the 3-dimensional space-time volume, thus allowing to correlate dynamic behaviors and actions. Small space-time video segments (small video clips) are "correlated" against entire video sequences in all three dimensions (x,y, and t). Peak correlation values correspond to video locations with similar dynamic behaviors. Our approach can detect very complex behaviors in video sequences (e.g., ballet movements, pool dives, running water), even when multiple complex activities occur simultaneously within the field-of-view of the camera. We further show its robustness to small changes in scale and orientation of the correlated behavior.