Non-parametric local transforms for computing visual correspondence
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
The nature of statistical learning theory
The nature of statistical learning theory
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
International Journal of Computer Vision
Parameterized modeling and recognition of activities
Computer Vision and Image Understanding
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Recognition of Visual Activities and Interactions by Stochastic Parsing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Algorithms
The Representation and Recognition of Human Movement Using Temporal Templates
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Text classification using string kernels
The Journal of Machine Learning Research
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
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Robust Real-Time Face Detection
International Journal of Computer Vision
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Recognizing Human Actions: A Local SVM Approach
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
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
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
Behavior recognition via sparse spatio-temporal features
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Detecting unusual activity in video
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A survey on vision-based human action recognition
Image and Vision Computing
Exploring trace transform for robust human action recognition
Pattern Recognition
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This paper presents an action analysis method based on robust string matching using dynamic programming. Similar to matching text sequences, atomic actions based on semantic and structural features are first detected and coded as spatio-temporal characters or symbols. These symbols are subsequently concatenated to form a unique set of strings for each action. A similarity metric using longest common subsequence algorithm is employed to robustly match action strings with variable length. A dynamic programming method with polynomial computational complexity and linear space complexity is implemented. An effective learning scheme based on similarity metric embedding is developed to deal with matching strings of variable length. Our proposed method works with limited amount of training data and exhibits desirable generalization property. Moreover, it can be naturally extended to detect compound behaviors and events. Experimental evaluation on our own and a commonly used data set demonstrates that our method allows for large pose and appearance changes, is robust to background clutter, and can accommodate spatio-temporal behavior variations amongst different subjects while achieving high discriminability between different behaviors.