Video image processing method suitable for video monitoring equipment

A video image and video monitoring technology, applied in the field of image processing, can solve the problems of time-consuming and laborious, blurred images, and achieve the effect of increasing the proportion, compressing the storage space, and improving the experience.

Active Publication Date: 2022-05-13
GUANGZHOU INTELLIGENT CITY DEV INST
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Problems solved by technology

[0002] When video surveillance equipment collects videos of high-speed moving targets, most of the acquired images are very blurred, or are images in dimly lit environments, or exposed images under strong light. In the long-term continuous video data After collection, a large amount of these invalid data have been accumulated, and the storage space consumed by the video surveillance equipment on the server side is massive. If these relatively blurred images can be removed, the volume of the video or the image sequence ...

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  • Video image processing method suitable for video monitoring equipment

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Embodiment Construction

[0072] The idea, specific structure and technical effects of the present invention will be clearly and completely described below in conjunction with the embodiments and accompanying drawings, so as to fully understand the purpose, scheme and effect of the present invention. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0073] Such as figure 1 Shown is a method flow chart of a video image processing method suitable for video surveillance equipment, combined below figure 1 To illustrate a video image processing method suitable for video surveillance equipment according to an embodiment of the present invention, the method is specifically described as follows:

[0074] S100, acquiring an image frame sequence;

[0075] S200, splitting the image frame sequence into a training set and a test set, and training the neural network model through the training set to...

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Abstract

The invention discloses a video image processing method suitable for video monitoring equipment. The method comprises the following steps: acquiring an image frame sequence; splitting the image frame sequence into a training set and a test set, and training the neural network model through the training set to obtain a trained neural network; extracting a foreground image, extracting a foreground image of each image frame, sequentially generating a fuzzy sequence of the foreground image of each image frame, sequentially judging whether each image frame has a fuzzy region or not according to the corresponding fuzzy sequence, if so, deleting the image frame with the fuzzy region, and if not, storing the image frame without the fuzzy region; according to the technical scheme, the volume of the image sequence formed by the video or the multiple images can be compressed, so that on the video monitoring equipment, the storage space required by a server side can be greatly compressed, the proportion of effective data can be increased, invalid fuzzy data can be cleared away, and the user experience can be improved.

Description

technical field [0001] The invention belongs to the technical field of image processing and mobile video processing, and in particular relates to a video image processing method suitable for video monitoring equipment. Background technique [0002] When video surveillance equipment collects videos of high-speed moving targets, most of the acquired images are very blurred, or are images in dimly lit environments, or exposed images under strong light. In the long-term continuous video data After collection, a large amount of these invalid data have been accumulated, and the storage space consumed by the video surveillance equipment on the server side is massive. If these relatively blurred images can be removed, the volume of the video or the image sequence composed of multiple images can be compressed , so that on the video surveillance equipment, the storage space required by the server can be greatly compressed, the proportion of valid data can be increased, invalid fuzzy d...

Claims

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Application Information

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IPC IPC(8): G06F16/71G06F16/16G06F16/17G06T7/00G06T7/194G06T7/174H04N7/18
CPCG06F16/71G06F16/162G06F16/1737G06T7/0002G06T7/194G06T7/174H04N7/18G06T2207/10016G06T2207/20081G06T2207/20084G06T2207/20224G06T2207/30232G06T2207/30168
Inventor 林丽专
Owner GUANGZHOU INTELLIGENT CITY DEV INST
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