Method for estimating head postures in low-resolution image treatment

Abstract

The invention relates to a method for estimating head postures in low-resolution image treatment, belonging to the technical field of image treatment. The method comprises the following steps of: extracting a training image block in a training video according to the training video and known head postures to train one Hoff forest for estimating the head postures, wherein the Hoff forest is a binary classification tree, and the training result represents the smallest nondeterminacy of training data contained in each leaf node of the tree; estimating the head postures of an inputted image frame after accomplishing a training process; and classifying the image blocks in the inputted image to each leaf node by utilizing the Hoff forest, voting in a head posture space on the basis of the training data saved in subnodes, and finally accumulating the voting results to obtain a value with most votes as a posture estimating result. The method not only can be suitable for the images in low-resolution videos, but also be used for simultaneously estimating the positions and the orientations of human body heads in the images.

Description

technical field [0001] The present invention relates to a method in the technical field of image processing, in particular to a method for head pose estimation in low-resolution image processing. Background technique [0002] Estimating the 3D pose of the human body from images has been a key issue in many computer vision applications such as intelligent surveillance, motion analysis, virtual reality, and human-computer interaction. When given an image, an ideal system should be able to estimate both the position and orientation of the head (when the word "pose" is used, it usually means position plus orientation), but many existing methods can only solve one of the problems. For example, the commonly used head tracking method only estimates the position of the head on the image. The usual head pose estimation method requires that the head position in the input image is known and aligned, and requires a higher resolution face image. [0003] Common head tracking methods, ...

AI Technical Summary

Problems solved by technology

When given an image, an ideal system should be able to estimate both the position and orientation of the head (when the word "pose" is used, it usually means position plus orientation), but many existing methods can only solve one of the questions

For example, the commonly used head tracking method only estimates the position of the head on the image

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