Gesture tracking method and gesture tracking system

Abstract

The invention provides a gesture tracking method. The gesture tracking method includes steps of designing gesture appearance models including image description modes for tracking prediction and prediction verification; acquiring initial states, positions and size information of targets by gesture detection; initializing a tracker for the targets according to the initial states by details of initializing the appearance models, namely initializing image description templates for tracking prediction and prediction verification, and initializing types, states and visibility of gestures; tracking; processing the states and the visibility of the targets according to information of the tracker so as to make a final estimate; and judging the visibility of the targets, starting the process of gesture detection again to acquire a tracking target if information is lost permanently, otherwise, continuing tracking the targets. The invention further provides a gesture tracking system. The gesture tracking method and the gesture tracking system have the advantages of simplicity, rapidness and stability.

Description

technical field [0001] The invention relates to the fields of vision-based and image-based target tracking and human-computer interaction, in particular to a gesture tracking method and system suitable for a television embedded platform. Background technique [0002] As an important method of human-computer interaction, gesture-based human-computer interaction has attracted widespread attention in recent years. For example, an ordinary camera is used to capture the user's action picture, and the pattern recognition algorithm is used to detect and track the hand features in the image, and the hand movement information is converted into the movement information of the TV screen cursor, which is fed back to the smart TV terminal, and Trigger corresponding operation commands, such as switching TV programs, moving the TV cursor, and simple game interaction. Gesture recognition technology is based on the camera equipped on the smart terminal, and the above operations can be compl...

AI Technical Summary

Problems solved by technology

[0003] However, the existing hand gesture tracking methods based on vision methods have the following general problems: 1) Poor stability, affected by factors such as ambient light and complex background, and the angle changes in the image caused by hand movement The change of hand shape is extremely easy to cause the loss of the tracking target and the interruption of operation; 2) the calculation efficiency is low, based on the hand feature information such as skin color and shape, it is easy to be interfered by external factors, and based on high-complexity online machine learning and training methods, It also greatly increases the complexity of the tracking algorithm, and the huge amount of calculation makes it difficult to run stably and smoothly on embedded platforms with low computing power, such as smart TV platforms

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