Digital camera detection moving method

Abstract

This invention discloses method for testing shift method of a digital camera including at least the following steps: exposing a digital camera, picking up images and transferring the image information to a control unit which will store gray value of a first image specific zone, then picking up the gray value corresponding to the specific zone in a real image, comparing gray distribution of the real image specific zone and one of the first image. When specific zones with different gray value are over N, that means the object of real image has shifted, on the contrary it has not. Then the object is tested of the successive action and the gray value of specific zone of the real image is stored as the gray value of the first image.

Description

technical field [0001] The invention relates to a digital camera, in particular to a method for detecting movement of a digital camera, which is used to provide additional functions of the digital camera. Background technique [0002] Traditional digital cameras can only simply capture and input image data. When the data needs to be further processed, it needs to be processed by the computer and then sent to the peripheral device, or input from the peripheral device to the computer before processing. With the increasing computing power of computers, advanced digital cameras can allow users to shoot images, and then store the captured images in digital format; The data is converted into a video format for storage or playback, so that in addition to generating image data, it can also be used to generate video (Video) data. [0003] With the rapid development of information technology, digital cameras have become an increasingly popular product in recent years. Because they do...

AI Technical Summary

Problems solved by technology

[0005] There has been a long history of research on mobile detection. However, traditional methods of mobile detection require additional high-cost equipment, such as infrared or microwave mobile detection devices, and most of them require the computing power of computers.

Because the traditional methods of detecting movement use very complex algorithms, when the funct

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