On the Design of Cascades of Boosted Ensembles for Face Detection
International Journal of Computer Vision
Catenary Support Vector Machines
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
"Local Rank Differences" Image Feature Implemented on GPU
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Learning Fast Emulators of Binary Decision Processes
International Journal of Computer Vision
Local Rank Patterns --- Novel Features for Rapid Object Detection
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Detection of Dogs in Video Using Statistical Classifiers
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
GP-GPU Implementation of the "Local Rank Differences" Image Feature
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Haar-like features with optimally weighted rectangles for rapid object detection
Pattern Recognition
Training for Task Specific Keypoint Detection
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Detection of a Hand Holding a Cellular Phone Using Multiple Image Features
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Cascade boosting-based object detection from high-level description to hardware implementation
EURASIP Journal on Embedded Systems - Special issue on design and architectures for signal and image processing
Learning Higher-Order Markov Models for Object Tracking in Image Sequences
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Real-time face detection using illumination invariant features
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Learning a fast emulator of a binary decision process
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Journal of Real-Time Image Processing
Framework for research on detection classifiers
Proceedings of the 24th Spring Conference on Computer Graphics
affordance mining: forming perception through action
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Predicate Logic Based Image Grammars for Complex Pattern Recognition
International Journal of Computer Vision
Analysis of wear debris through classification
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Real-time object detection on CUDA
Journal of Real-Time Image Processing
Towards optimal training of cascaded detectors
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Probabilistic cascade random fields for man-made structure detection
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
International Journal of Computer Vision
Learning to efficiently detect repeatable interest points in depth data
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Crosstalk cascades for frame-rate pedestrian detection
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Action recognition robust to background clutter by using stereo vision
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
A data-driven detection optimization framework
Neurocomputing
A text reading algorithm for natural images
Image and Vision Computing
Exploiting features: locally interleaved sequential alignment for object detection
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Line filtering for surgical tool localization in 3D ultrasound images
Computers in Biology and Medicine
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In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of sequential decision-making. If the false positive and false negative error rates are given, the optimal strategy in terms of the shortest average time to decision (number of measurements used) is the Waldýs sequential probability ratio test (SPRT). We built on the optimal SPRT test and enlarge its capabilities to problems with dependent measurements. We show how to overcome the requirements of SPRT 驴 (i) a priori ordered measurements and (ii) known joint probability density functions. We propose an algorithm with near optimal time and error rate trade-off, called WaldBoost, which integrates the AdaBoost algorithm for measurement selection and ordering and the joint probability density estimation with the optimal SPRT decision strategy. The WaldBoost algorithm is tested on the face detection problem. The results are superior to the state-of-the-art methods in the average evaluation time and comparable in detection rates.