Financial Document Image Coding with Regions of Interest Using JPEG2000
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A Framework for Weighted Fusion of Multiple Statistical Models of Shape and Appearance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatio-Temporal Context for Robust Multitarget Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Incremental and robust learning of subspace representations
Image and Vision Computing
Incremental Learning for Robust Visual Tracking
International Journal of Computer Vision
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Robust foreground segmentation based on two effective background models
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Sequential latent semantic indexing
Proceedings of the 2nd Workshop on Data Mining using Matrices and Tensors
Graph-based transductive learning for robust visual tracking
Pattern Recognition
Incremental learning of bidirectional principal components for face recognition
Pattern Recognition
A New Incremental PCA Algorithm With Application to Visual Learning and Recognition
Neural Processing Letters
Emulating biological strategies for uncontrolled face recognition
Pattern Recognition
Learning a generic 3D face model from 2D image databases using incremental Structure-from-Motion
Image and Vision Computing
Video-based face model fitting using Adaptive Active Appearance Model
Image and Vision Computing
Real-time subspace-based background modeling using multi-channel data
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Maximising audiovisual correlation with automatic lip tracking and vowel based segmentation
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
Semi adaptive appearance models for lip tracking
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Adaptive appearance model and condensation algorithm for robust face tracking
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Visual attention based motion object detection and trajectory tracking
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Incremental shape statistics learning for prostate tracking in TRUS
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
Hausdorff matching based SVD-covariance descriptor for object tracking
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and Tracking
International Journal of Computer Vision
Adaptive multi-cue tracking by online appearance learning
Neurocomputing
Robust auxiliary particle filter with an adaptive appearance model for visual tracking
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Subspace tracking for latent semantic analysis
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Correlation-based incremental visual tracking
Pattern Recognition
Object tracking via appearance modeling and sparse representation
Image and Vision Computing
A Fast Algorithm for Updating and Downsizing the Dominant Kernel Principal Components
SIAM Journal on Matrix Analysis and Applications
Long term carefully learning for person detection application to intelligent surveillance system
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
Adaptive object tracking with online statistical model update
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Robust visual tracking with structured sparse representation appearance model
Pattern Recognition
Auto-scaled incremental tensor subspace learning for region based rate control application
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Incremental face recognition for large-scale social network services
Pattern Recognition
Visual tracking via dynamic tensor analysis with mean update
Neurocomputing
Memory-restricted latent semantic analysis to accumulate term-document co-occurrence events
Pattern Recognition Letters
Euler Principal Component Analysis
International Journal of Computer Vision
Block covariance based l1 tracker with a subtle template dictionary
Pattern Recognition
Incremental slow feature analysis with indefinite kernel for online temporal video segmentation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Learning a context aware dictionary for sparse representation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
A survey of appearance models in visual object tracking
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Partial-update dimensionality reduction for accumulating co-occurrence events
Pattern Recognition Letters
Multimedia Tools and Applications
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The Karhunen-Loeve (KL) transform is an optimal method for approximating a set of vectors or images, which was used in image processing and computer vision for several tasks such as face and object recognition. Its computational demands and its batch calculation nature have limited its application. Here we present a new, sequential algorithm for calculating the KL basis, which is faster in typical applications and is especially advantageous for image sequences: the KL basis calculation is done with much lower delay and allows for dynamic updating of image databases. Systematic tests of the implemented algorithm show that these advantages are indeed obtained with the same accuracy available from batch KL algorithms