Application of the Unusual Motion Detection Using CHLAC to the Video Surveillance
Neural Information Processing
Three-way auto-correlation approach to motion recognition
Pattern Recognition Letters
Low Resolution Gait Recognition with High Frequency Super Resolution
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
View Invariant Human Action Recognition Based on Factorization and HMMs
IEICE - Transactions on Information and Systems
Dynamic Texture Based Gait Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Action Recognition Based on Non-parametric Probability Density Function Estimation
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Classification of temporal data based on self-organizing incremental neural network
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Dynamic textures for human movement recognition
Proceedings of the ACM International Conference on Image and Video Retrieval
Exceptional motion frames detection by means of spatiotemporal region of interest features
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Scene classification based on local autocorrelation of similarities with subspaces
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Low-resolution gait recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Chrono-gait image: a novel temporal template for gait recognition
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Detecting frequent patterns in video using partly locality sensitive hashing
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Significance of dynamic content of gait present in the lower silhouette region
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Gait recognition using a view transformation model in the frequency domain
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Part-based motion descriptor image for human action recognition
Pattern Recognition
EG 3DOR'09 Proceedings of the 2nd Eurographics conference on 3D Object Retrieval
Fusion of human posture features for continuous action recognition
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
Feature subset selection applied to model-free gait recognition
Image and Vision Computing
Automatic authoring of a domestic cooking video based on the description of cooking instructions
Proceedings of the 5th international workshop on Multimedia for cooking & eating activities
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We propose a new method - Cubic Higher-order Local Auto-Correlation (CHLAC) - to address three-way data analysis. This method is a natural extension of Higher-order Local Auto-Correlation (HLAC) [A new scheme for practical flexible and intelligent vision systems], which deals only with two-way data. Both methods use "correlation" to summarize relative positions or motions within a local data region, and these can be calculated simply with a low computational load. Moreover, our new method (CHLAC) offers several preferable properties as well as HLAC: shift-invariance to data (rendering the method segmentation-free), additivity for data, and robustness to noise in data. In this study, we applied this method to action and simultaneous multiple-person identification from a motion-image sequence through the property of data additivity. Experimental results showed that this method performed well.