Method for performing multi-visual-angle face detection by means of integral channel features

Abstract

The invention discloses a method for performing multi-visual-angle face detection by means of integral channel features. The method is mainly characterized in that three LUV color channels in ten ACF channels are improved for obtaining a gray scale single channel, thereby forming an eight-channel characteristic and realizing quicker feature extraction; four-stage Adaboost cascaded classifier training is performed on the extracted features, thereby forming a cascaded strong classifier which comprises 4096 weak classifiers; and image detection is performed by means of the cascaded classifier and a quick feature pyramid method for quickly and accurately detecting faces. According to the method of the invention, detecting blocks are acquired by means of successive sliding of a sliding window on a characteristic pyramid according to a step length; the detecting blocks are classified by means of the trained Adaboost classifier; overlapped window elimination is performed on the detecting blocks which comprise the faces through a non-maximum suppression method; a final face detection window is kept and detection precision is improved.

Description

technical field [0001] The invention relates to the technical field of computer vision face detection, in particular to a method for multi-view face detection by using aggregation channel features. Background technique [0002] Human face is a common and complex visual pattern, and the reflected visual information plays an important role and significance in the communication and interaction between people. Face detection is the key first step in the face recognition system, and it is also a hot spot in the field of computer vision and pattern recognition research. In recent years, with the development of technologies such as computer vision, pattern recognition and artificial intelligence, as well as the urgent needs of intelligent transportation, intelligent monitoring and security fields, pedestrian detection technology has received more and more attention, but it is difficult to detect occluded and overlapping pedestrians. , so face detection is needed to replace pedestr...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies of the prior art, such as low precision and slow speed of multi-view face detection, and provide a method for multi-view face detection using aggregated channel features. By using the 10 ACF proposed by Piotr Dollar The channel is improved to 8 channels, that is, the three LUV color channels are changed to a single grayscale channel. The improved new ACF feature will greatly improve the face detection speed, and the detection speed is fast and accurate

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