Dynamic capturing method and device for video key points
A dynamic capture, key point technology, applied in image analysis, image enhancement, instruments, etc., can solve problems such as target occlusion, and achieve the effect of improving quality, efficiently reading and displaying, and reducing the amount of calculation.
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Embodiment 1
[0040] The embodiment of the present invention provides a kind of dynamic capture method of video key point, see figure 1 and figure 2 , the method includes the following steps:
[0041] 101: Perform processor operations such as grayscale processing and filtering processing on the image, and obtain the preprocessed image;
[0042]102: Modeling the background in the preprocessed image, and counting the gray value of the preprocessed image without moving objects into the interval, and then obtaining a statistically significant distribution interval of the initial background gray value;
[0043] Subsequent histogram equalization can be performed based on the distribution interval of the initial background gray value.
[0044] 103: Perform foreground detection on the image processed in step 102, that is, make a difference between the processed image and the background, obtain a background difference map, distinguish the moving foreground and background, and realize image segmen...
Embodiment 2
[0050] The preprocessing part in Embodiment 1, ie step 101, will be further introduced below in conjunction with specific examples, see the description below for details.
[0051] First, the original video frame
[0052] For the image preprocessing problem, the original video is firstly "divided into frames". Assuming that the total time of the acquired video is t, a key frame is extracted every time t', representing the motion state within t. After the key frame is extracted, the obtained n=t / t′ frame images are reassembled into a section of video and displayed in the software window. This process can be specifically described as the following steps:
[0053] 1) Manually obtain the target video and data format;
[0054] 2) Use the visual computing library function to divide the target video into frames, select a frame at a specific time interval, and finally obtain multiple video key frames;
[0055] Wherein, the visual computing library function is a built-in function of ...
Embodiment 3
[0097] The image background modeling in Embodiment 1, that is, step 102, will be further introduced in combination with specific examples, see the description below for details.
[0098] Because the background in the video is more complex, which affects the trajectory prediction effect, the background difference method is firstly used to determine the approximate range of the trajectory. Background subtraction method is a very commonly used moving target detection algorithm. It is mainly used to extract the foreground without changing the background. Its principle is to perform a difference operation between the current frame and the background, then set an appropriate threshold, and perform binarization through the threshold. The first step of the background subtraction method is to obtain the background image and model the background. Then the difference between the image of the current frame and the background is performed, and then an appropriate threshold is set for bin...
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