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Biological Cybernetics
Generic Neighborhood Operators
IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
International Journal of Computer Vision
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Parameterized modeling and recognition of activities
Computer Vision and Image Understanding
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International Journal of Computer Vision
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
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International Journal of Computer Vision
Time-Recursive Velocity-Adapted Spatio-Temporal Scale-Space Filters
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
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Object Recognition Using Composed Receptive Field Histograms of Higher Dimensionality
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Recognizing Human Actions: A Local SVM Approach
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Detecting Motion Patterns via Direction Maps with Application to Surveillance
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - 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
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ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
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CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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SCVMA'04 Proceedings of the First international conference on Spatial Coherence for Visual Motion Analysis
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IEEE Transactions on Neural Networks
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International Journal of Computer Vision
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AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
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AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
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Pattern Recognition Letters
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Computer Vision and Image Understanding
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CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
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Computer Vision and Image Understanding
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Computer Vision and Image Understanding
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ACM Transactions on Intelligent Systems and Technology (TIST)
Computer Vision and Image Understanding
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Pattern Recognition Letters
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Personal and Ubiquitous Computing
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Pattern Recognition Letters
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In this paper, we address the problem of motion recognition using event-based local motion representations. We assume that similar patterns of motion contain similar events with consistent motion across image sequences. Using this assumption, we formulate the problem of motion recognition as a matching of corresponding events in image sequences. To enable the matching, we present and evaluate a set of motion descriptors that exploit the spatial and the temporal coherence of motion measurements between corresponding events in image sequences. As the motion measurements may depend on the relative motion of the camera, we also present a mechanism for local velocity adaptation of events and evaluate its influence when recognizing image sequences subjected to different camera motions. When recognizing motion patterns, we compare the performance of a nearest neighbor (NN) classifier with the performance of a support vector machine (SVM). We also compare event-based motion representations to motion representations in terms of global histograms. A systematic experimental evaluation on a large video database with human actions demonstrates that (i) local spatio-temporal image descriptors can be defined to carry important information of space-time events for subsequent recognition, and that (ii) local velocity adaptation is an important mechanism in situations when the relative motion between the camera and the interesting events in the scene is unknown. The particular advantage of event-based representations and velocity adaptation is further emphasized when recognizing human actions in unconstrained scenes with complex and non-stationary backgrounds.