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Surveillance video abstraction extraction method based on moving object detection

A technology for moving objects and monitoring video, applied in the field of computer vision, can solve problems such as large amount of calculation and inability to process video in real time, and achieve the effect of improving processing efficiency

Inactive Publication Date: 2015-02-04
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

The traditional video summarization technology based on key frames has a large amount of calculation and cannot process video in real time

Method used

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  • Surveillance video abstraction extraction method based on moving object detection
  • Surveillance video abstraction extraction method based on moving object detection
  • Surveillance video abstraction extraction method based on moving object detection

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Embodiment Construction

[0028] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0029] The invention provides a monitoring video summary extraction method based on moving object detection, figure 1 The overall flow of the method is shown. The specific implementation steps of the surveillance video summary extraction method based on moving object detection are as follows:

[0030] Step 1, set the parameters of the ViBe background model and initialize the model. Each pixel of the background model includes 20 samples, the threshold for matching the pixels in the video with the background model sample set is 50, the update frequency of the samples of the background model pixels is 1...

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Abstract

The invention discloses a surveillance video abstraction extraction method based on moving object detection. The surveillance video abstraction extraction method comprises the steps of firstly determining the parameters of a ViBe model, initializing the model by use of a section of video frames and treating new video frames by use of the obtained ViBe background model so as to generate binary background images, secondly, performing morphological operation on each obtained binary image and obtaining the position information of a moving object in the frame of the binary image, thirdly, tracking each moving object and storing the motion sequence of each object, fourthly segmenting the moving objects to obtain fine profiles of the objects, and finally, jointing the profile sequences of the motion objects to the background frames by use of a reasonable method. A simple and effective video abstraction extraction method is realized by use of the ViBe model for various surveillance videos, and the processing efficiency is improved on the basis of remaining the motion information of the key moving objects.

Description

technical field [0001] The invention belongs to the field of computer vision and relates to a method for extracting video summaries in surveillance videos. Background technique [0002] In today's society, with the gradual increase of the country's demand for social public security and the vigorous development of smart city construction, high-definition cameras are installed in the streets and alleys, and the amount of video that the security industry needs to process is increasing. When an event occurs in a certain area, you can use the video to understand what happened before and after. In some sparsely populated areas, there are few moving objects, and objects appear in only a few time periods in the 24 / 7 surveillance video. Saving and viewing such videos will consume a lot of manpower and material resources, and even important information may be missed. [0003] Due to the existence of the above problems, video summarization technology has become a research hotspot in t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
CPCG06V20/46
Inventor 陈纯周星辰宋明黎卜佳俊袁冠红
Owner ZHEJIANG UNIV
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