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Target abnormal detecting method and device based on JPEG image

An image anomaly and anomaly detection technology, which is applied in image communication, television, instruments, etc., can solve the problems of high cost, large amount of image data, and inability to meet the real-time requirements of embedded systems

Inactive Publication Date: 2009-05-06
ZHEJIANG WANLI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are two main problems with this method: first, the uncompressed YUV format has a large amount of image data, so the amount of calculation is also large when processing, and it takes a long time from image data input to the end of result judgment, and the required system resources are relatively large. Many, can't be suitable for the real-time requirement in the embedded system; The 2nd, if also adopt existing method, must decode and Obtain image data in YUV format, which is expensive to implement

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] A method for target anomaly detection based on a JPEG image, comprising a JPEG image input unit and a JPEG image anomaly detection unit, where the JPEG image input unit can be a USB camera or other JPEG image input devices, and the JPEG image anomaly detection unit can include the following processing The PC and single-chip microcomputer of the module can also be an embedded system including the following processing modules. The JPEG image input unit is connected with the JPEG image abnormality detection unit through a communication interface, and the communication interface may be a serial port, a network interface or a wireless communication interface.

[0058] JPEG image anomaly detection unit carries out the anomaly detection of JPEG image by following method: see figure 1 shown

[0059] (1), preset the JPEG image brightness error threshold T in the JPEG image abnormality detection unit y , the first maximum number of errors T 1 , JPEG image chroma error threshol...

Embodiment 2

[0091] Different from Embodiment 1, the JPEG image anomaly detection unit performs anomaly detection of JPEG images by the following method: see image 3 shown

[0092] (1), preset JPEG image brightness error threshold T in the JPEG image abnormal detection unit y , the first maximum number of errors T 1 , JPEG image chroma error threshold T uv , the second largest number of errors T 2 ;

[0093] (2), the JPEG image abnormality detection unit receives the JPEG image input by the JPEG image input unit;

[0094] (3), the JPEG image anomaly detection unit carries out Huffman decoding to two consecutive frames of JPEG images in the received JPEG image, and respectively obtains an array composed of DC discrete cosine coefficients of the brightness Y components of the two consecutive frames of JPEG images before and after, An array of DC discrete cosine coefficients of the color difference U component and an array of DC discrete cosine coefficients of the color difference V com...

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Abstract

The invention relates to a method and a device which are used for detecting target abnormality based on JPEG images, comprising a JPEG image input unit and a JPEG image abnormality detecting unit connected with the JPEG image input unit through a communication interface. The method is characterized in that when the JPEG image is transmitted by the communication interface, the JPEG image abnormality detecting unit performs Huffman decoding to the JPEG image and obtains direct current discrete cosine coefficients DCY, DCU and DCV; whether target abnormality exists in a monitored site is judged according to the comparison of the direct current discrete cosine coefficients; and corresponding switch amount is output. Compared with the prior art, the invention directly processes the JPEG image data, omits the process of decoding the JPEG image into the YUV data, thereby the abnormity target detecting speed is greatly increased By the method, required data storage space, required access times and required calculation magnitude are not great so that the hardware resource of the system is greatly reduced.

Description

technical field [0001] The invention relates to a JPEG image-based object abnormality detection method and device. Background technique [0002] With the improvement of people's quality of life, the monitoring system develops rapidly. Using image detection technology to achieve monitoring is a common method. At present, the commonly used method for abnormal detection of image objects is the frame difference method. For example, the Chinese patent application number 200510001843.4 discloses a method and system for remote monitoring. The method for judging whether abnormal objects appear on the monitoring site is: collecting images in YUV format Data, remove the UV component in the image, and use the edge extraction algorithm to extract the edge of the gray image. Compare the edge of this grayscale image with the edge of the previous grayscale image, and judge whether the number of edge points whose position difference is outside the set range is greater than a certain thres...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00H04N7/26H04N19/44
Inventor 刘高平
Owner ZHEJIANG WANLI UNIV