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Shadow cancelling method and system in vision frequency monitoring

A technology of shadow elimination and video surveillance, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problems of large amount of data calculation, time-consuming, affecting the real-time performance of shadow detection, etc.

Active Publication Date: 2010-12-08
中星智能系统技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the conversion from RGB color space to HSV color space requires a large amount of data calculation and takes a lot of time. Therefore, it is difficult to apply it to video surveillance. Calculating edges will also consume a lot of time and affect the real-time performance of shadow detection.

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  • Shadow cancelling method and system in vision frequency monitoring
  • Shadow cancelling method and system in vision frequency monitoring
  • Shadow cancelling method and system in vision frequency monitoring

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Embodiment Construction

[0040] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0041] The flow process of the shadow elimination method in the video monitoring provided by the present invention is as follows: figure 1 shown, including the following steps:

[0042] (1) Collect initial frames of images, establish a background model, and obtain a background image;

[0043] (2) using the acquired video stream image as an input image, detecting foreground pixels, distinguishing moving pixels and still pixels, and obtaining a binarized foreground image;

[0044] (3) Detect and compensate shadow points in the foreground image, and output the foreground image after shadow compensation;

[0045] (4) Use the compensated foreground image in step (3) and the current input image to update the background image, and repeat the operation of step (2).

[0046] The specific implementation of the above steps is as follows:

[0047]● Establish a background ima...

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Abstract

The invention belongs to the video monitoring technical field, in particular relating to a method and a system for eliminating shadows in video monitoring. The method comprises the following steps of collecting a plurality of frames of initial images and setting a background model to obtain a background image; having acquired video stream images used as input images respectively, detecting foreground pixel points and distinguishing moving pixel points from static pixel points to obtain a binary foreground image; detecting and compensating shadow points in the foreground image, and outputting the foreground image which is processed with a shadow compensation; and updating the background image by using the compensated foreground image and a current inputted image, and repeating the operations. The invention uses a YUV image captured by a camera to directly perform motion detection and shadow detection, avoids a color space transformation or an edge detecting operation in the prior shadow detection method, further improves operating speed for shadow detection, and is advantageous for real-time application.

Description

technical field [0001] The invention belongs to the technical field of video monitoring, and in particular relates to a method and system for eliminating shadows in video monitoring. Background technique [0002] Video surveillance systems generally use fixed cameras to continuously shoot a certain scene, process the collected video streams, detect moving objects in them, and perform subsequent processing such as classification, tracking, and identification of moving objects. [0003] Shadow elimination is one of the main problems to be solved in moving object detection. When detecting moving objects, if the influence of shadows is not considered, it may lead to serious problems, such as the fusion of objects in the scene (shadows may connect several independent objects), and the appearance of false objects (shadows are detected as objects). All of these will have a great negative impact on target tracking and recognition, resulting in a greatly increased error rate and a s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06T7/20
Inventor 王磊邓亚峰黄英
Owner 中星智能系统技术有限公司