Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast reflectional symmetry detection using orientation histograms
Real-Time Imaging - Special issue on real-time defect detection
Statistical Learning of Multi-view Face Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Rotation Invariant Neural Network-Based Face Detection
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A statistical approach to 3d object detection applied to faces and cars
A statistical approach to 3d object detection applied to faces and cars
Fast Pose Estimation with Parameter-Sensitive Hashing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ent-Boost: Boosting using entropy measures for robust object detection
Pattern Recognition Letters
Recognizing cars in aerial imagery to improve orthophotos
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
On the Design of Cascades of Boosted Ensembles for Face Detection
International Journal of Computer Vision
Haar Wavelets and Edge Orientation Histograms for On---Board Pedestrian Detection
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
A Performance Evaluation of Single and Multi-feature People Detection
Proceedings of the 30th DAGM symposium on Pattern Recognition
Extracting Auto-Correlation Feature for License Plate Detection Based on AdaBoost
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Improving object detection with boosted histograms
Image and Vision Computing
A view-based statistical system for multi-view face detection and pose estimation
Image and Vision Computing
A Parallel Point Matching Algorithm for Landmark Based Image Registration Using Multicore Platform
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
Boosted forest for human detection
Proceedings of the First International Conference on Internet Multimedia Computing and Service
2D-3D-based on-board pedestrian detection system
Computer Vision and Image Understanding
On selection and combination of weak learners in AdaBoost
Pattern Recognition Letters
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
A cascade of feed-forward classifiers for fast pedestrian detection
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Detecting and recognizing abandoned objects in crowded environments
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
A combined skin model and feature approach for tracking of human faces
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Mining families of features for efficient object detection
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A novel features design method for cat head detection
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
Automatic image semantic interpretation using social action and tagging data
Multimedia Tools and Applications
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Object class segmentation using reliable regions
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Face detection with effective feature extraction
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Real-time human detection using relational depth similarity features
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Fast human detection based on enhanced variable size HOG features
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Person re-identification by descriptive and discriminative classification
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
A monocular human detection system based on EOH and oriented LBP features
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
iSpy: automatic reconstruction of typed input from compromising reflections
Proceedings of the 18th ACM conference on Computer and communications security
Pedestrian detection and tracking using HOG and oriented-LBP features
NPC'11 Proceedings of the 8th IFIP international conference on Network and parallel computing
Towards optimal training of cascaded detectors
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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
Exploiting temporal information in functional magnetic resonance imaging brain data
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Modeling micro-patterns for feature extraction
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
Conservative visual learning for object detection with minimal hand labeling effort
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Histogram features-based fisher linear discriminant for face detection
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
The regional detection of 2d barcode in complicated backgrounds of metal parts
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Journal of Visual Communication and Image Representation
Efficient and accurate face detection using heterogeneous feature descriptors and feature selection
Computer Vision and Image Understanding
Lucas-Kanade based entropy congealing for joint face alignment
Image and Vision Computing
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Pre-attention cues for person detection
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
Pedestrian detection on moving vehicle using stereovision and 2d cue
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
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Face detection systems have recently achieved high detection rates[11, 8, 5] and real-time performance[11]. However, these methods usually rely on a huge training database (around 5, 000 positive examples for good performance). While such huge databases may be feasible for building a system that detects a single object, it is obviously problematic for scenarios where multiple objects (or multiple views of a single object) need to be detected. Indeed, even for multiview face detection the performance of existing systems is far from satisfactory. In this work we focus on the problem of learning to detect objects from a small training database. We show that performance depends crucially on the features that are used to represent the objects. Specifically, we show that using local edge orientation histograms (EOH) as features can significantly improve performance compared to the standard linear features used in existing systems. For frontal faces, local orientation histograms enable state of the art performance using only a few hundred training examples. For profile view faces, local orientation histograms enable learning a system that seems to outperform the state of the art in real-time systems even with a small number of training examples.