Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Experimental comparisons of online and batch versions of bagging and boosting
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-parametric Model for Background Subtraction
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Unsupervised Improvement of Visual Detectors using Co-Training
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Fast 2D Hand Tracking with Flocks of Features and Multi-Cue Integration
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 10 - Volume 10
Online Detection and Classification of Moving Objects Using Progressively Improving Detectors
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Incremental Learning for Robust Visual Tracking
International Journal of Computer Vision
An unsupervised, online learning framework for moving object detection
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Learning distance functions for image retrieval
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Person spotting: video shot retrieval for face sets
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Hi-index | 0.00 |
This paper proposes a new framework to automatically generate visual object database meanwhile efficiently learn the object's model. The system is of important need for the problems of object detection and recognition. Our main idea is to acquire the huge amount of video data actively, and seeks out opportunities to autonomously exploit information from object samples. We employ autonomous learning approach based on online boosting technique, which allows to combine an object detector trained on a single initialized input image with tracking to extract object samples for learning. The autonomous learning process with interactive learning strategy allows to adaptively improve the learning object model while generating informative samples. Our method allows to generate thousands of object samples within hours from large video databases or from live camera, thus saving time and labor's efforts. We will show that the proposed method can extracts well-localized, diverse appearances of object examples from video sequence through only one initialized input sample, and builds robust object model. In addition to requiring very little human intervention, a significant benefit of this method is that it does not require pre-training. In the experiments, the approach is evaluated in detail for creating data sets and learning for the problems of human hand gesture recognition and face detection. In addition, to show the generality, results for different objects are also presented.