Target detection method for vehicles and pedestrians in intelligent traffic monitoring

A target detection and intelligent transportation technology, applied in character and pattern recognition, image data processing, instruments, etc., can solve the problems of unremoved shadows and light sensitivity, and achieve the goals of reducing overhead, high robustness, and simplifying the initialization process Effect

Inactive Publication Date: 2012-01-25
JIANGSU UNIV
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Problems solved by technology

[0004] Aiming at the problems of sensitive illumination, ghost phenomenon and unremoved shadows in the detection of moving objects in the current intelligent video processing technology, the present invention proposes an improved method for detecting moving objects, which overcomes

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  • Target detection method for vehicles and pedestrians in intelligent traffic monitoring
  • Target detection method for vehicles and pedestrians in intelligent traffic monitoring
  • Target detection method for vehicles and pedestrians in intelligent traffic monitoring

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[0009] The present invention first initializes the saturation component S and the brightness component V of the pixel value of the collected video frame sequence, and establishes a mixed Gaussian background model of the brightness component V and the saturation component S. After the difference between the foreground frame and the background frame, two steps are performed. After processing such as quantization and morphological filtering, update factors are introduced to update the Gaussian mixture background model; then the moving target is determined according to the Jeffrey value. details as follows:

[0010] See figure 1 The implementation of the present invention is based on hardware equipment. The hardware equipment includes a CCD camera, a DSP digital signal processor and a PC. One end of the DSP digital signal processor is connected to the CCD camera, and the other end is connected to the PC. Firstly collect video frames through a CCD camera (S101), then perform digital-t...

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Abstract

The invention discloses a target detection method for vehicles and pedestrians in intelligent traffic monitoring. The method comprises the following steps of: performing background model initialization on a video frame sequence, independently establishing hybrid Gaussian background component models for a saturation component and a brightness component, and calculating component mean values; differentiating a current frame in the video frame sequence from a background frame, performing binarization processing on a foreground frame, removing shadows and noises and performing morphological filtering; updating weight values, mean values and variances of the components of an obtained hybrid Gaussian background model by using an updating factor; and comparing values of moving target pixels to be matched with each distributed Jeffrey value in the updated hybrid Gaussian background model, and judging whether the moving target pixels are foreground points or not by utilizing the Jeffrey values. By utilizing the method, related parameters of the saturation component and the brightness component are required to be updated, so the overhead of a system is decreased under the condition of not influencing the precision, and the influence of noises and environmental illumination can be avoided; and the method can adapt to the slight disturbance of scenes, and has the characteristic of high robustness.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a detection method for vehicles and pedestrians in intelligent traffic monitoring, which detects abnormal moving objects in input traffic videos. Background technique [0002] Intelligent video surveillance is to automatically analyze the image sequence through the computer without human intervention, to realize the operations of moving target detection, tracking and behavior understanding in the dynamic scene, and to judge whether to issue an alarm according to the analysis results. In an intelligent video traffic monitoring system, the moving objects of pedestrians and vehicles in the monitoring scene are the basis of image analysis, image recognition and image understanding. The results of moving object detection can be used for subsequent object tracking and classification, and the detection effect is direct. It will affect the follow-up work, so ...

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Application Information

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IPC IPC(8): G06T7/20G06K9/00
Inventor 宋雪桦王利国袁昕王昌达沈廷根陈景柱吴朝辉杨庆庆尹康民
Owner JIANGSU UNIV
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