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Method and system for video monitoring

A video surveillance system and video surveillance technology, applied in image data processing, instruments, computing and other directions, can solve the problems of high algorithm complexity and inapplicability, and achieve the effect of low algorithm complexity

Active Publication Date: 2015-11-11
SUZHOU KEDA TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In intelligent monitoring, tracking moving targets is its basic function. Traditional target tracking technologies (such as: optical flow segmentation method, Snake deformation contour model method, mean-shift algorithm, particle filter and other algorithms) have relatively high algorithm complexity , not applicable to SmartIPC

Method used

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  • Method and system for video monitoring

Examples

Experimental program
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Embodiment 1

[0034] The invention provides a video monitoring method, such as figure 1 shown, including the following steps:

[0035] Step S1, acquiring continuous multiple frames of video images obtained by video surveillance. The continuous multi-frame video images can be obtained from the SmartIPC device; at the same time, depending on the platform, the continuous multi-frame video images may be complete YUV data or grayscale images containing only Y information, or grayscale images in other formats; At the same time, the continuous multi-frame images can also be in bitmap mode, duotone mode, RGB mode, CMYK mode, Lab mode, indexed color mode, multi-channel mode and the like. In this embodiment, it is set as a grayscale image.

[0036] Step S2, detecting a moving object in the current frame video image. There may be one or more moving objects.

[0037] Step S3, performing target tracking on each moving target in the current frame.

[0038] Step S4, acquiring the target generation ti...

Embodiment 2

[0084] The invention provides a video monitoring system, such as image 3 As shown, the following modules are included:

[0085] The video image acquisition module is used to acquire continuous multi-frame video images obtained by video monitoring;

[0086] A moving target acquisition module is used to detect a moving target in the current frame video image;

[0087] A moving target tracking module is used to perform target tracking on each moving target in the current frame;

[0088] The target generation time and average speed acquisition module is used to obtain the target generation time and average speed of the moving target from its appearance to the current moment;

[0089] An effective target identification module, configured to generate a target generation time threshold corresponding to the moving target according to the average speed of the moving target; compare the target generation time of the moving target with the target corresponding to the moving target A ...

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Abstract

The invention provides a method and system for video monitoring. An initial target is set to generate a time threshold. If the target generation time of a motion target is shorter than the initial target generation time threshold, the motion target is discarded to accurately filter the disturbance factors, such as leaf shaking. Otherwise, the mean speed of the motion targets is calculated, the corresponding target generation time thresholds are generated by utilizing the average speed. Different target generation time thresholds are set for different motion targets, and effective targets can be accurately identified from motion targets of different speed. The motion target is effective, only when the target generation time of the motion target is greater than or equal to the corresponding target generation time threshold to further filter noises. The noises can be effectively filtered in a noisy complex situation, and effective targets can be accurately identified from motion targets with different speed. The algorithm complexity is low.

Description

technical field [0001] The invention relates to video monitoring technology, in particular to a SmartIPC-based micro intelligent video monitoring method and system. Background technique [0002] The micro-smart camera is a popular smart front-facing camera in recent years, and its representative product is SmartIPC. SmartIPC is equivalent to the upgrade of traditional cameras. It adds new functions on the basis of traditional cameras, that is, adding intelligent monitoring algorithms to traditional cameras. Since its data processing capability is limited, it is necessary to run on it. The video surveillance algorithm has the characteristics of low algorithm complexity and high accuracy. [0003] In intelligent monitoring, tracking moving targets is its basic function. Traditional target tracking technologies (such as: optical flow segmentation method, Snake deformation contour model method, mean-shift algorithm, particle filter and other algorithms) have relatively high alg...

Claims

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Application Information

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IPC IPC(8): G06T7/20
CPCG06T7/20G06T2207/10016
Inventor 尹东芹章勇曹李军
Owner SUZHOU KEDA TECH
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