KR950006623A

KR950006623A - Image Recognition Method of Video Equipment and Its Apparatus

Info

Publication number: KR950006623A
Application number: KR1019930017035A
Authority: KR
Inventors: 최봉열; 최영
Original assignee: 배순훈; 대우전자 주식회사
Priority date: 1993-08-30
Filing date: 1993-08-30
Publication date: 1995-03-21

Abstract

본 발명은 영상 기기의 모드 조작을 사용자의 입모양으로 하기에 적합한 영상 기기의 화상 인식 방법 및 그 장치에 관한 것으로 종래에는 사용자가 비디오 카세트 레코더를 조작하고자 할 경우, 해당 리모콘을 사용하여 원격 조정하거나 사용자가 직접 비디오 카세트 레코더를 조작하여 원하는 모드를 실행시켜야 하는 번거로움이 있었으나, 본 발명에서는 화상 입력부(1), 화상 인식부(2), 출력부(3) 그리고 제어부(4)를, 차례로 접속시켜 사용자의 입모양에 의해 원하는 모드가 선택되도록 하므로써 영상 기기의 모드를 선택하므로 상기 결점을 개선시킬 수 있는 것이다.The present invention relates to an image recognition method of a video device suitable for mode operation of a video device to the user's mouth and a device thereof. Although it was cumbersome for the user to directly operate the video cassette recorder to execute the desired mode, in the present invention, the image input unit 1, the image recognition unit 2, the output unit 3 and the control unit 4 are sequentially connected. By selecting the mode of the video device by allowing the user to select the desired mode by the shape of the user can improve the drawbacks.

Description

Image Recognition Method of Video Equipment and Its Apparatus

본 내용은 요부공개 건이므로 전문내용을 수록하지 않았음Since this is an open matter, no full text was included.

제1도는 본 발명에 따른 영상 기기의 화상 인식을 설명하기 위한 블록도,1 is a block diagram illustrating image recognition of an imaging apparatus according to the present invention;

제2도는 제1도의 제어부의 알고리듬을 단계별로 나타낸 순서도.2 is a flow chart showing the algorithm of the controller of FIG. 1 step by step.

Claims

If the voice signal is input, if the voice signal is a voice sound through the user's mouth (S1-S3); Extracting a predetermined portion of the stored user's image and comparing the pre-stored data to a parameter according to a mode desired by the user (S4, S5); And comparing the parameter with data stored in advance to determine a mode to execute a mode desired by the user (S6, S7).

The image recognition method according to claim 1, wherein the predetermined portion is a part in the step (S4, S5).

An image input unit (1) which inputs an image of the current user and stores the input current image of the user; An image recognition unit (2) for inputting an image of the current user of the image input unit (1) and recognizing a corresponding mode according to the image of the current user by comparing with previously stored image data; An output unit 3 for inputting a mode by image recognition of the image recognition unit 2 and outputting data corresponding to a mode according to an image of a current user; And a control unit (4) for inputting data of the output unit (3) to select a mode according to an image of the current user.

The image recognition apparatus according to claim 3, wherein the pre-stored data of the image recognition unit (2) is stored through learning using a neural network circuit.

※ Note: The disclosure is based on the initial application.