Human-computer interaction method and device

Abstract

A man-machine interaction method comprises the following steps: a first step of obtaining a target image appointed by a user and establishing classifiers including a plurality of decision-making trees based on random forest training, a second step of storing a plurality of classifiers including the plurality of decision-making trees and a positive-negative sample union, a third step of obtaining an image to be detected, a fourth step of calculating probability that the image to be detected is the same as the target image, a fifth step of judging whether the image to be detected is the target image or not according to a preset judging threshold value, a sixth step of analyzing and obtaining relevancy between the image to be detected and the positive-negative sample union, a seventh step of judging whether the image to be detected is the target image or not according to first relevancy threshold value, an eighth step of judging the image to be detected is the target image at last when the image to be detected is the same as the target image under the judging threshold value and the first relevancy threshold value, and a ninth step of utilizing the image to be detected to adjust parameters of the classifiers and complement the positive-negative sample union. The invention further provides a man-machine interaction device. According to the man-machine interaction method and the device, the user defined target image can be achieved, and recognition precision and system stability can be continuously enhanced in the process of using.

Description

【Technical field】 [0001] The invention relates to the field of image analysis, in particular to a human-computer interaction method and device. 【Background technique】 [0002] In recent years, with the popularization of smart terminal devices, seeking a more natural and simple way of human-computer interaction has become a hot issue in the fields of scientific research and industry. Throughout the development history of human-computer interaction technology, it has gradually developed from mouse, keyboard, remote control, etc. to non-contact operation methods such as vision, voice, gesture, etc., and visual technology is the most important means. That is, the image is obtained through the camera, and the operator's actions and intentions are judged based on image intelligent analysis technology, and then the machine is controlled. But the biggest problem it faces is the complexity and uncertainty of the environment, which makes the technology not yet fully mature. With the...

AI Technical Summary

Problems solved by technology

[0003] However, based on 3D technology, gesture and somatosensory control technology: represented by Microsoft Kinect system, this technology realizes the three-dimensional real-time reconstruction of the scene through dynamic three-dimensional reconstruction technology, and imports the visual detection algorithm from 2D to 3D space, which reduces the difficulty of recognition. , but it increases the hardware cost and calculation amount, and the product is relatively large, so it is difficult to embed it into the existing intelligent terminal equipment

[0004] Moreover, the traditional technology is to preset a specific target image, so that the user must provide a target within the preset specific target image during use, and the flexibility is low.

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