Method for determining gesture moving direction based on hidden Markov model

A gesture movement and model technology, applied in character and pattern recognition, image data processing, instruments, etc., can solve problems such as unfavorable popularity, vulnerability to ambient lighting, and single gesture-based movement tracking.

Active Publication Date: 2012-07-18
SICHUAN CHANGHONG ELECTRIC CO LTD
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AI Technical Summary

Problems solved by technology

The 3D camera obtains the three-dimensional information of gestures, and its high cost is not conducive to popularization
[0005] The existing gesture motion direction determination is mainly based on a single gesture motion tracking, and the method of determining the motion direction by calculating the hand displacement distance
However, since the hand is a non-rigid object, and gesture tracking is generally based on skin color, this tracking-based method is unstable and susceptible to interference from ambient light and background color, and cannot form a correct tracking trajectory.

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  • Method for determining gesture moving direction based on hidden Markov model
  • Method for determining gesture moving direction based on hidden Markov model
  • Method for determining gesture moving direction based on hidden Markov model

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Embodiment Construction

[0028] like figure 1 Shown the present invention is based on hidden Markov model to judge the method for gesture motion direction, comprising:

[0029] a. Perform face detection through the camera to determine that the user enters the system recognition range, and use a conventional Adaboost detector to detect the number of faces numf in the current frame f(x, y, t). If there is a continuous person near a certain position If the number of faces numf>0 and more than 2 seconds, it is considered that a user has entered the scene;

[0030] b. Obtain the current moving image from the video stream, establish a skin color probability model, and use it as the basis for skin color segmentation in the gesture movement process. In the HSV (hue, saturation, brightness) color space, count a large number of skin color and non-skin color information, and establish normalization The H-S (hue, saturation) skin color histogram that is optimized is used for the skin color segmentation of subseq...

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Abstract

The invention relates to a method for determining a gesture moving direction based on a hidden Markov model. The method comprises the following steps of: a, recognizing a human face; b, acquiring a gesture area gray-scale map through multi-threaded fusion; c, updating a gesture moving history map and acquiring a moving energy map according to the gesture area gray-scale map; d, dividing vector horizontal angles; e, acquiring a starting moment and an ending moment of gesture movement through the moving energy map, and splitting the gesture movement; and f, training hidden Markov model parameters, and presuming the gesture moving direction by the forward algorithm and the backward algorithm of the hidden Markov model. By the method for determining the gesture moving direction based on the hidden Markov model, the gesture moving direction of the hidden Markov model is determined by using a plurality of determining conditions, so that the determination accuracy of the gesture movement can be improved, and the interference of various factors in a determination result can be obviously reduced.

Description

technical field [0001] The invention relates to the field of video image processing, in particular to a method for judging the motion direction of a gesture based on a Hidden Markov Model (HMM). Background technique [0002] In recent years, with the rapid expansion of the influence of computers in modern society, the application of multimodal human-computer interaction in real life has become more and more extensive. Vision-based gesture recognition has become an indispensable technology for the new generation of human-computer interaction. [0003] Gesture is a natural, intuitive, and easy-to-learn means of human-computer interaction. With human hands directly used as computer input devices, communication between humans and computers will no longer require a medium. Gesture recognition based on computer is a kind of recognition technology with development trend, but there are many technical difficulties. For example, gestures are derived from video streams under complex ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/66G06T7/20
Inventor 刘恒赵仕才张彩虹吕金钢
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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