Unmanned aerial vehicle capable of indentifying gesture and identifying method thereof

An identification method and drone technology, applied in computer parts, mechanical mode conversion, input/output of user/computer interaction, etc. Ease of use

Inactive Publication Date: 2015-07-29
CHENGDU TOPPLUSVISION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the technical problem that UAV control in the prior art requires additional hardware equipment, resulting in high

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  • Unmanned aerial vehicle capable of indentifying gesture and identifying method thereof
  • Unmanned aerial vehicle capable of indentifying gesture and identifying method thereof

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Embodiment Construction

[0020] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the implementation described below Examples are only some embodiments of the present invention, not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without ...

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Abstract

The invention relates to the technical field of unmanned aerial vehicle control and computer vision combination, and discloses an unmanned aerial vehicle capable of identifying a gesture. The unmanned aerial vehicle specifically comprises an image acquisition device, an image processing module, a gesture identifying module and a gesture translator which are arranged on the unmanned aerial vehicle, wherein the image acquisition device is used for acquiring an image in a visual angle range; the image processing module judges the existence of a person in the image according to the acquired image, and starts the gesture identifying module when the person exists in the image; the gesture identifying module identifies the gesture of the person in the image according to the gesture of the person in the image and a pre-established gesture motion model of the person; the gesture translator translates the gesture of the person in the image into a control command of the unmanned aerial vehicle, and transmits the control command to the unmanned aerial vehicle. Gesture identification is introduced into the control of an unmanned aerial vehicle, so that the hardware cost of the unmanned aerial vehicle can be reduced; the operating enjoyment of the unmanned aerial vehicle can also be increased; the interaction between the person and the unmanned aerial vehicle is enhanced.

Description

technical field [0001] The invention relates to the technical field of combining drones and computer vision, in particular to a drone capable of recognizing gestures and a recognition method thereof. Background technique [0002] There are many types of unmanned aerial vehicles in the prior art, and the respective application ranges of different unmanned aerial vehicles are also very wide. Taking the rotor unmanned aerial vehicle as an example, it is a kind of aircraft that can take off and land vertically. This aircraft has It has many advantages such as small size, light weight, stable flight, low price, and ability to hover. It has very good application and research value. Since there is no pilot on the UAV, its flight control is mostly realized by remote control. [0003] The current common remote control methods include customized hand-held remote controllers and general mobile terminals (such as: tablet computers and mobile phones, etc.). The advantage of this method...

Claims

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Application Information

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IPC IPC(8): G06F3/01
Inventor 龙学军周剑徐一丹陆宏伟
Owner CHENGDU TOPPLUSVISION TECH CO LTD
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