A Real generalization of discrete AdaBoost
Artificial Intelligence
Ent-Boost: Boosting using entropy measures for robust object detection
Pattern Recognition Letters
High-Performance Rotation Invariant Multiview Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video parsing based on head tracking and face recognition
Proceedings of the 6th ACM international conference on Image and video retrieval
Distributing expressional faces in 2-D emotional space
Proceedings of the 6th ACM international conference on Image and video retrieval
Pattern Recognition
International Journal of Computer Vision
TV ad video categorization with probabilistic latent concept learning
Proceedings of the international workshop on Workshop on multimedia information retrieval
Machine Vision and Applications
International Journal of Computer Vision
A view-based statistical system for multi-view face detection and pose estimation
Image and Vision Computing
Implementation of Rotation Invariant Multi-View Face Detection on FPGA
APPT '09 Proceedings of the 8th International Symposium on Advanced Parallel Processing Technologies
Consumer video retargeting: context assisted spatial-temporal grid optimization
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Traffic sign recognition using evolutionary adaboost detection and forest-ECOC classification
IEEE Transactions on Intelligent Transportation Systems
Efficient Hypothesis Generation through Sub-categorization for Multiple Object Detection
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Context saliency based image summarization
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
On selection and combination of weak learners in AdaBoost
Pattern Recognition Letters
Multiview pedestrian detection based on vector boosting
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
A theoretical approach to construct highly discriminative features with application in AdaBoost
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Recognizing activities with multiple cues
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
EURASIP Journal on Advances in Signal Processing
Visual affect recognition
Multi-class classification on Riemannian manifolds for video surveillance
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Journal on Image and Video Processing - Special issue on advanced video-based surveillance
Appearance-based face detection with artificial neural networks
Intelligent Decision Technologies
Auto-alignment of knee MR scout scans through redundant, adaptive and hierarchical anatomy detection
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
Multi-view fast object detection by using extended haar filters in uncontrolled environments
Pattern Recognition Letters
Robust head tracking with particles based on multiple cues fusion
ECCV'06 Proceedings of the 2006 international conference on Computer Vision in Human-Computer Interaction
Shot classification using domain specific features for movie management
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part II
International Journal of Computer Vision
Efficient and accurate face detection using heterogeneous feature descriptors and feature selection
Computer Vision and Image Understanding
Mixture component identification and learning for visual recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Exploiting features: locally interleaved sequential alignment for object detection
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
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In this paper, we propose a novel tree-structured multi-view face detector (MVFD), which adopts the coarse-to-fine strategy to divide the entire face space into smaller and smaller subspaces. For this purpose, a newly extended boosting algorithm named Vector Boosting is developed to train the predictors for the branching nodes of the tree that have multi-components outputs as vectors. Our MVFD covers a large range of the face space, say, +/- 45° rotation in plane (RIP) and +/- 90° rotation off plane (ROP), and achieves high accuracy and amazing speed (about 40 ms per frame on a 320 脳 240 video sequence) compared with previous published works. As a result, by simply rotating the detector 90°, 180° and 270°, a rotation invariant (360° RIP) MVFD is implemented that achieves real time performance (11 fps on a 320 脳 240video sequence) with high accuracy.