Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
An HMM-Based Threshold Model Approach for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
View-Invariant Representation and Recognition of Actions
International Journal of Computer Vision
Extraction of 2D Motion Trajectories and Its Application to Hand Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene
International Journal of Computer Vision
Discovering Similar Multidimensional Trajectories
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Motion Trajectory Learning in the DFT-Coefficient Feature Space
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
Signing Exact English (SEE): Modeling and recognition
Pattern Recognition
Nonparametric Discriminant Analysis for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Trajectory representation using Gabor features for motion-based video retrieval
Pattern Recognition Letters
Event analysis based on multiple interactive motion trajectories
IEEE Transactions on Circuits and Systems for Video Technology
Score normalization in multimodal biometric systems
Pattern Recognition
Trajectory classification using switched dynamical hidden Markov models
IEEE Transactions on Image Processing
Nonparametric Discriminant Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
Real-Time Motion Trajectory-Based Indexing and Retrieval of Video Sequences
IEEE Transactions on Multimedia
Learning activity patterns using fuzzy self-organizing neural network
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Object Trajectory-Based Activity Classification and Recognition Using Hidden Markov Models
IEEE Transactions on Image Processing
Motion-based video retrieval by trajectory matching
IEEE Transactions on Circuits and Systems for Video Technology
Counting Pedestrians in Video Sequences Using Trajectory Clustering
IEEE Transactions on Circuits and Systems for Video Technology
Multifeature Object Trajectory Clustering for Video Analysis
IEEE Transactions on Circuits and Systems for Video Technology
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This paper proposes a novel kernel-space representation for motion trajectories. Contrasted to most trajectory representation methods in the literature, our method is more generic in the sense that it can be applied to either 2D or 3D trajectories. In the proposed method, a trajectory is firstly projected by the Kernel Principal Component Analysis (KPCA) which can be considered as an implicit mapping to a much higher-dimensional feature space. The high dimensionality can effectively improve the accuracy in recognizing motion trajectories. Then, Nonparametric Discriminant Analysis (NDA) is used to extract the most discriminative features from the KPCA feature space. The synergistic effect of KPCA and NDA leads to better class separability and makes the proposed trajectory representation a more powerful discriminator. The experimental validation of the proposed method is conducted on the Australian Sign Language (ASL) data set. The results show that our method performs significantly better, in both trajectory classification and retrieval, than the state-of-the-art techniques.