Intelligent transportation moving object detection tracking method

A technology for traffic motion and target detection, applied in the field of image processing, which can solve the problems of small amplitude, invisible to the human eye, and image drift.

Active Publication Date: 2015-05-27
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

However, due to the influence of shooting conditions, weather and human factors, there is a drift in the background of different frames of the captured video image, although the magnitude of this drift may be very small, and even th

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  • Intelligent transportation moving object detection tracking method
  • Intelligent transportation moving object detection tracking method

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[0045] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0046] A method for detecting and tracking an intelligent transportation moving target, the method steps comprising:

[0047] Step 1, extract the original image of the current frame and its adjacent original image of the previous frame from the video data acquired by the intelligent traffic video monitoring system, and perform the following steps of Step101-Step104 on the original image of the current frame and the original image of the previous frame respectively Get the preprocessed image;

[0048] Step101, the current original image is convolved with a 3*3 Gaussian smoothing template to remove image noise, and a filtered image is obtained.

[0049] In this embodiment, it is considered that a smaller Gaussian filter is selected to better preserve image detail features, which is beneficial for detecting small thin lines with obvious texture changes. The...

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Abstract

The invention discloses an intelligent transportation moving object detection tracking method which is used for detecting and tracking a moving object in an intelligent transportation video. The intelligent transportation moving object detection tracking method comprises the following steps: considering objects with obvious edge characteristics such as guard bars in the middle part and on the two sides of a road in a video frame image; adopting a finite difference first-order partial derivative matrix to calculate the gradients of an input front video frame image and a back video frame image, and extracting a fine outline of an input image characteristic area; performing outline connection, area filling consolidation and morphological processing to obtain a preprocessed image; adopting an improved SIFT algorithm to extract key points from the preprocessed image, and only establishing a six-layered Gaussian pyramid for the preprocessed image, so as to ensure the situation that a few of key points can be detected when the image is changed in a small scale, meanwhile reduce redundant calculation requirement on establishing the pyramid, and improve the time efficiency of the algorithm; before frame difference, the image of the video sequence front frame and back frame is rectified by utilizing an affine transformation model obtained by the preprocessed image, so as to eliminate the influence of the video frame shift on performance detection.

Description

technical field [0001] The invention relates to a moving target detection and tracking algorithm for intelligent traffic video monitoring system data, belonging to the technical field of image processing. Background technique [0002] Intelligent transportation system has a wide range of application prospects due to its all-day, all-weather, and large monitoring range. The basic technologies of intelligent video surveillance include moving object detection, moving object classification, moving object tracking, etc. Currently, the research on these technologies has attracted much attention. [0003] The existing moving target detection methods mainly include: adjacent frame difference method, optical flow segmentation method, background subtraction method and so on. The inter-frame difference method is to subtract the adjacent frame images, then take the threshold and segment the resulting image, and extract the moving target. The moving object detection algorithm based on ...

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Application Information

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IPC IPC(8): G06T7/20
Inventor 陈禾刘文超毕福昆章菲菲马龙申金晶
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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