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Method for monitoring moving object in natural environment

A technology for moving objects and natural environments, applied in the field of computer vision, can solve problems such as high noise, poor robustness, and complex calculations

Inactive Publication Date: 2013-07-17
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the invention is to provide a method for monitoring moving objects in a natural environment, which solves the problems of excessive noise, poor robustness, and complex calculations in traditional background modeling, improves the accuracy and speed of moving object detection, and makes it Meet the requirements of intelligence

Method used

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  • Method for monitoring moving object in natural environment

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Embodiment 1

[0054] figure 2 It is a block diagram of the specific algorithm flow diagram of moving object detection of the present invention.

[0055] A method for monitoring moving objects in a natural environment. The method is based on spatiotemporal information fusion and feature recognition. The specific steps include background analysis, foreground detection and extraction, shadow removal, and background update.

[0056] (1) Background analysis

[0057] After acquiring the surveillance video, the image sequence is converted to the HSV color model, and a vector with the pixel coordinates (x, y), hue H value, saturation S value and brightness V as the elements is established G ,then G i ( x , y , 1), G i ( x , y , 2) and G i ( x , y , 3) respectively represent the first i Frame image ( x , y ) Hue H value, saturation S value and brightness V value of the pixel. Before selecting the surveillance video N The frame is used as a training frame, and the pixel points ( x , y )At this N The averag...

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Abstract

The invention relates to a method for monitoring a moving object in a natural environment. Based on space-time information fusion and feature identification, the method mainly comprises background analysis, foreground extraction, shadow removal and background update. According to the thought of the method, image sequences are converted into hue, saturation and value (HSV) color models, the change rule of the parameter of each pixel point in a certain period of time is analyzed and compared, and each pixel point belonging to a background point, a moving object point or a shadow point in a certain frame can be distinguished through judgment of a judgment formula. By adopting the method, an algorithm is improved on the influence possibly caused by natural conditions such as wind, sunlight and lightning, and the background can be intelligently updated under the conditions that the illumination is abruptly changed, the moving object is still and then is blended into the background, the background object moves and the like; and the method is applied to monitoring of the moving object in the natural environment.

Description

Technical field [0001] The invention relates to the processing of video or image sequences in the field of computer vision, in particular to a method for monitoring moving objects in a natural environment. Background technique [0002] Video surveillance has long been widely used in traffic management systems and security management systems in communities, schools, shopping malls and other public places. However, this traditional video surveillance system requires the staff to continuously monitor and analyze the activities in the scene, artificially judge whether the scene is abnormal, the workload is large, time-consuming and laborious, and the staff is prone to visual fatigue under continuous monitoring. Affect the accuracy and reliability of judgment. Therefore, it is very necessary to study how to use computers to realize intelligent video surveillance. Moving object detection technology is the most basic and key technology in intelligent video surveillance. [0003] Moving...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06T5/00G06K9/46
Inventor 简小刚徐晓翔李晓华
Owner TONGJI UNIV
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