Spatio-temporal features for robust content-based video copy detection
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Silhouette representation and matching for 3D pose discrimination - A comparative study
Image and Vision Computing
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
Recognizing human actions by fusing spatio-temporal appearance and motion descriptors
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Non-parametric anomaly detection exploiting space-time features
Proceedings of the international conference on Multimedia
Behavior and properties of spatio-temporal local features under visual transformations
Proceedings of the international conference on Multimedia
Orientation invariant 3D object classification using hough transform based methods
Proceedings of the ACM workshop on 3D object retrieval
Comparing evaluation protocols on the KTH dataset
HBU'10 Proceedings of the First international conference on Human behavior understanding
Convolutional learning of spatio-temporal features
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Hough transform and 3D SURF for robust three dimensional classification
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
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ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
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PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
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Human action recognition by SOM considering the probability of spatio-temporal features
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Recent advances and trends in visual tracking: A review
Neurocomputing
Systematic evaluation of spatio-temporal features on comparative video challenges
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Space-time Zernike moments and pyramid kernel descriptors for action classification
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Evaluation of local descriptors for action recognition in videos
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Human action recognition based on random spectral regression
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Selective spatio-temporal interest points
Computer Vision and Image Understanding
Integrating local action elements for action analysis
Computer Vision and Image Understanding
Computer Vision and Image Understanding
Human attributes from 3D pose tracking
Computer Vision and Image Understanding
Color-Aware local spatiotemporal features for action recognition
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Action recognition via an improved local descriptor for spatio-temporal features
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Dynamic hand gesture recognition: An exemplar-based approach from motion divergence fields
Image and Vision Computing
Motion recognition using local auto-correlation of space-time gradients
Pattern Recognition Letters
Exploring probabilistic localized video representation for human action recognition
Multimedia Tools and Applications
Sparse Modeling of Human Actions from Motion Imagery
International Journal of Computer Vision
Mid-level features and spatio-temporal context for activity recognition
Pattern Recognition
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Spatio-Temporal phrases for activity recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Directional space-time oriented gradients for 3d visual pattern analysis
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Trajectory-Based modeling of human actions with motion reference points
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Statistics of pairwise co-occurring local spatio-temporal features for human action recognition
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Surgical gesture classification from video data
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Spatio-temporal video representation with locality-constrained linear coding
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
A Performance Evaluation of Volumetric 3D Interest Point Detectors
International Journal of Computer Vision
Auto learning temporal atomic actions for activity classification
Pattern Recognition
The synergy of 3d SIFT and sparse codes for classification of viewpoints from echocardiogram videos
MCBR-CDS'12 Proceedings of the Third MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems: Bridging the Gap Between Perception, Action and Communication
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Spatio-temporal fisher vector coding for surveillance event detection
Proceedings of the 21st ACM international conference on Multimedia
Human action recognition with salient trajectories
Signal Processing
Activity detection and recognition of daily living events
Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare
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Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare
Human action recognition by fast dense trajectories
Proceedings of the 21st ACM international conference on Multimedia
Large scale continuous visual event recognition using max-margin Hough transformation framework
Computer Vision and Image Understanding
A local descriptor based on Laplacian pyramid coding for action recognition
Pattern Recognition Letters
Human activity modeling by spatio temporal textural appearance
Pattern Recognition Letters
Multiple scale-specific representations for improved human action recognition
Pattern Recognition Letters
Efficient descriptor tree growing for fast action recognition
Pattern Recognition Letters
Depth sensor assisted real-time gesture recognition for interactive presentation
Journal of Visual Communication and Image Representation
Language-motivated approaches to action recognition
The Journal of Machine Learning Research
Keep it simple and sparse: real-time action recognition
The Journal of Machine Learning Research
E-LAMP: integration of innovative ideas for multimedia event detection
Machine Vision and Applications
Action recognition using 3D DAISY descriptor
Machine Vision and Applications
Robust human action recognition scheme based on high-level feature fusion
Multimedia Tools and Applications
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Over the years, several spatio-temporal interest point detectors have been proposed. While some detectors can only extract a sparse set of scale-invariant features, others allow for the detection of a larger amount of features at user-defined scales. This paper presents for the first time spatio-temporal interest points that are at the same time scale-invariant (both spatially and temporally) and densely cover the video content. Moreover, as opposed to earlier work, the features can be computed efficiently. Applying scale-space theory, we show that this can be achieved by using the determinant of the Hessian as the saliency measure. Computations are speeded-up further through the use of approximative box-filter operations on an integral video structure. A quantitative evaluation and experimental results on action recognition show the strengths of the proposed detector in terms of repeatability, accuracy and speed, in comparison with previously proposed detectors.