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Rapid object detection using a boosted cascade of simple features
TLDR
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates comparable to the best previous systems. Expand
Robust real-time face detection
TLDR
We have constructed a frontal face detection system which achieves detection and false positive rates which are equivalent to the best published results. Expand
Detecting pedestrians using patterns of motion and appearance
TLDR
This paper describes a pedestrian detection system that integrates image intensity information with motion information in a single detector. Expand
Statistical color models with application to skin detection
TLDR
The existence of large image datasets such as photos on the World Wide Web make it possible to build powerful generic models for low-level image attributes like color using simple histogram learning techniques. Expand
Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade
TLDR
This paper develops a new approach for extremely fast detection in domains where the distribution of positive and negative examples is highly skewed (e.g. face detection or database retrieval). Expand
Fast Multi-view Face Detection
TLDR
This paper addresses two types of pose variation: non-frontal faces, which are rotated out of the image plane, andnon-upright faces,which are rotated in theimage plane. Expand
Regularization Theory and Neural Networks Architectures
TLDR
We propose to use the term generalized regularization networks for this broad class of approximation schemes that follow from an extension of regularization. Expand
Statistical Color Models with Application to Skin Detection
TLDR
The existence of large image datasets such as the set of photos on the World Wide Web make it possible to build powerful generic models for low-level image attributes like color using simple histogram learning techniques. Expand
Detecting Pedestrians Using Patterns of Motion and Appearance
TLDR
This paper describes a pedestrian detection system that integrates image intensity information with motion information. Expand
A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection
TLDR
We present a multi-stream bi-directional recurrent neural network for fine-grained action detection. Expand
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