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A moving object detection algorithm for camera motion

A moving target, detection algorithm technology, applied in the field of image processing

Active Publication Date: 2019-03-29
TIANJIN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

A pan-tilt camera can complete multi-directional monitoring. How does a mobile camera realize the detection of moving targets? The above-mentioned target detection algorithm cannot solve this problem

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  • A moving object detection algorithm for camera motion
  • A moving object detection algorithm for camera motion
  • A moving object detection algorithm for camera motion

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Embodiment Construction

[0046] In order to describe the technical content, structural features, achieved purpose and effect of the technical solution in detail, the following will be described in detail in conjunction with specific embodiments and accompanying drawings.

[0047] see Figure 8 Shown, a preferred embodiment of the present invention is a kind of moving target detection algorithm for camera movement, and it comprises the following steps:

[0048] S1, acquire video information, and establish an initial mixed Gaussian background model based on the image data of the first frame of the video. The first is the initialization of the mixed Gaussian background model, usually using the first frame of image data, so that the initialized mixed Gaussian background model and the image to be detected in the next frame are more likely to conform to the Gaussian distribution principle, and the mixed Gaussian background model is initialized faster. Initialize the mean and variance of the mixed Gaussian ...

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Abstract

Aiming at the problem of camera movement when moving object detection in natural environment, the invention provides a moving object detection scheme adapted to camera movement. Firstly, the background model is initialized by a Gaussian mixture model. Then the pyramid optical flow method is used to detect the characteristic points of the moving optical flow of two adjacent frames, The RANSAC algorithm is used to filter out the correct matching point pairs, and the offset of the matching point pairs is used to estimate the camera offset, then the image matching homography matrix is obtained, and the background model matched with the current frame is restored. The model is used as the final background model for moving object detection in the current frame. In the process of background modeling, a Gaussian mixture background model based on the concepts of spatial element and temporal element is proposed. The spatial element improves the detection accuracy, and the temporal element improves the adaptability of background model.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a moving target detection algorithm for camera movement. Through the improvement of the traditional mixed Gaussian background modeling algorithm, the original algorithm can detect moving targets when the camera is moving, and the detection accuracy and recall rate of the algorithm are improved. Background technique [0002] Object detection is an important research direction in the field of computer vision. After decades of efforts by researchers, moving object detection technology has achieved good results and is widely used in intelligent monitoring, multimedia applications and other fields. Over the years, according to different application occasions, technical methods, etc., scholars have proposed many different moving target detection methods to adapt to complex and changeable environments. [0003] As early as the end of the 1970s, Jain et al. proposed...

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Application Information

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IPC IPC(8): G06T7/215
CPCG06T7/215G06T2207/10016
Inventor 董恩增韩博佟吉钢
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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