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A tracking-based moving object detection method in complex scenes

A moving target and detection method technology, applied in image analysis, image enhancement, instruments, etc., can solve problems such as poor moving target detection results and untimely background update, and achieve removal of leaf jitter, simple running speed calculation, and high real-time. sexual effect

Active Publication Date: 2019-07-19
SOUTH CHINA AGRI UNIV
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Problems solved by technology

In the existing technology, in the process of detecting moving targets with sudden changes in illumination and shaking leaves, the background update is not timely, resulting in poor detection results of moving targets

Method used

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  • A tracking-based moving object detection method in complex scenes
  • A tracking-based moving object detection method in complex scenes
  • A tracking-based moving object detection method in complex scenes

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Embodiment Construction

[0028] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific examples and with reference to the accompanying drawings.

[0029] A tracking-based moving target detection method in complex scenes developed by the present invention is realized in C++ language by adopting an object-oriented design method and software engineering specifications under the environment of microcomputer windows 7.

[0030] figure 1 It is a concrete flowchart of the method of the present invention. Below to figure 1 Some specific implementation processes in the present invention are described by way of example. The method of the present invention is a method for detecting moving objects in a complex scene based on tracking, and its specific steps are:

[0031] Step 1: Use mixed Gaussian background modeling on the input video sequence to obtain the initial moving...

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Abstract

The present invention proposes a tracking-based moving target detection method in a complex scene. The method includes the following steps: for an input video frame, a mixed Gaussian model is used for background modeling and model update, and initial foreground pixel points are obtained. Based on the insensitivity of LBP texture features to illumination, the current foreground pixel and the corresponding background pixel are compared with the neighboring pixels by binarization, which realizes the adaptive update of the background model and adapts well to sudden changes in illumination. Get exercise goals. Then track the moving target, obtain the track information of the target, and calculate the distance from the initial position of the target and the number of changes in the moving direction according to the track information, so as to remove the influence of the leaf swing. Finally, a large number of isolated small noises or false targets are removed by calculating the coefficient of variation to obtain the final moving target. The invention can effectively overcome the influence of complex backgrounds such as shaking leaves, sudden changes in light, etc., and has good real-time performance and ability to adapt to environmental changes.

Description

technical field [0001] The invention relates to the technical field of intelligent video monitoring, in particular to a tracking-based moving target detection method in complex scenes. Background technique [0002] With the strengthening of public safety construction and the improvement of people's safety awareness, intelligent video surveillance has begun to receive people's attention and favor. This puts forward higher requirements for security systems and video surveillance systems. [0003] The intelligent video surveillance system detects, tracks, and recognizes targets in dynamic scenes by automatically analyzing the video recorded by the camera, and analyzes and judges the behavior of the target on this basis. It can not only complete daily monitoring but also respond in time when abnormal situations occur, and solve the problems of traditional monitoring such as heavy workload, low efficiency, and slow response speed. [0004] Moving target detection is the most im...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/20G06K9/00
CPCG06T7/20G06T2207/10016G06T2207/30241G06T2207/30232G06V20/52
Inventor 薛月菊毛亮林焕凯
Owner SOUTH CHINA AGRI UNIV
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