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A video surveillance image data processing method and system

A technology for image data and video surveillance, applied in closed-circuit television systems, components of television systems, image communications, etc., can solve the problems of inapplicability, manual operation, missed, etc. Effect

Active Publication Date: 2017-02-08
LONTIUM SEMICON CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Especially when it comes to major emergencies such as criminal investigation, it is necessary to use time-seamless and complete surveillance video. This kind of video with intervals may be suspected of manual operation in some places, and it may also miss some subtle changes in scene video.
Therefore, for such places, existing methods cannot be applied

Method used

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  • A video surveillance image data processing method and system
  • A video surveillance image data processing method and system
  • A video surveillance image data processing method and system

Examples

Experimental program
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Effect test

Embodiment 1

[0038] see figure 1 , figure 1 It is a flow chart of a method for processing video surveillance image data disclosed in the embodiment of this application.

[0039] like figure 1 As shown, the method includes:

[0040] Step 101: Obtain video monitoring data provided by the camera in real time, and the video monitoring data is composed of multiple frames of image data;

[0041] Specifically, as is well known to the public, video surveillance data is composed of frame-by-frame image data, and the surveillance video provided by the camera we obtained is also composed of multiple frames of images.

[0042] Step 102: Perform motion detection on the acquired current frame image data, and judge whether there is a moving object in the current frame image data, and when no moving object is detected in the current frame image data, execute step 103, otherwise execute step 104 ;

[0043] Step 103: Perform resolution reduction processing on the current frame image data, and store the...

Embodiment 2

[0054] In order to make the memory occupied by video surveillance data smaller, we can increase the processing of video data compression:

[0055] Perform compression processing on the current frame image data after the resolution reduction processing in step 103 of the first embodiment, and store after the compression processing;

[0056] Perform compression processing on the current frame image data stored in the form of a picture in step 104 of the first embodiment, and then store after the compression processing;

[0057] Perform compression processing on the current frame image data processed by reducing the resolution in step 104 of the first embodiment, and then store after the compression processing;

[0058] All frame image data stored at the original resolution in step 104 of the first embodiment are compressed, and then stored after compression.

Embodiment 3

[0060] see figure 2 , figure 2 It is a structural diagram of a video surveillance image data processing system disclosed in the embodiment of this application.

[0061] Such as figure 2 As shown, the system includes:

[0062] The data acquisition unit 21 is used to acquire video monitoring data provided by the camera in real time, and the video monitoring data is composed of multiple frames of image data;

[0063] The detection unit 22 is configured to perform motion detection on the acquired current frame image data, and determine whether there is a moving object in the current frame image data;

[0064] A data processing unit 23, configured to perform resolution reduction processing on the current frame image data when the detection unit 22 does not detect a moving object in the current frame image data, and process the processed current frame image The data is stored in a video format. When the detection unit 22 detects a moving object in the current frame image data...

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Abstract

This application discloses a method for processing video surveillance image data, which performs motion detection on the acquired current frame image data, and when no moving object is detected in the current frame image, the current frame image data is processed by reducing the resolution and converted into a video format Store, otherwise, reduce the resolution of the current frame image data and store it as a video, and count the number of frames of the original resolution image with moving objects saved in the form of pictures within one second before the current frame image data is acquired , and when the value of the frame does not exceed the preset threshold, the current frame image data is saved as a picture at the original resolution; or, starting from the current frame image data, the subsequent preset time is saved at the original resolution All frame image data. The present application can further reduce the storage space of the video while ensuring the seamless connection of the video, and can meet the requirement of providing partial clear video in some cases.

Description

technical field [0001] The present application relates to the technical field of video surveillance systems, and more specifically, to a video surveillance image data processing method and system. Background technique [0002] In today's society, video surveillance has been widely used in various public places and private clubs. By storing the monitored video, powerful video evidence can be provided for subsequent problems. However, following it is the problem of storing a large amount of image data. Because the amount of video data is very large, whether these video image data are stored locally or uploaded to the server, a huge storage space is required. Usually, the video image data is compressed, and then the compressed video data is stored. However, even so, the compressed video image data is still very huge. [0003] In the existing method, by performing motion detection on video recording, no video recording is performed when no moving object is detected, and vide...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/18H04N5/14H04N19/85
Inventor 张俊陈峰苏进夏洪锋陶成
Owner LONTIUM SEMICON CORP
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