Moving target rapid detection method based on sequence images and computer vision system

Abstract

The invention belongs to the technical field of moving target detection of sequence images, and discloses a moving target rapid detection method based on sequence images, a computer vision system andpreprocessing of the sequence images. The method comprises the following steps of in the acquisition process of the sequence images, adopting image graying, binaryzation and median filtering for processing; for the low-illumination image, adopting Gamma transformation to enhance the image; detecting a moving target in a static environment by combining a detection method of background difference and edge inter-frame difference; and detecting a moving target in a dynamic environment based on a detection method of SIFT algorithm feature matching. The positive detection rate reaches 96.3%, the false detection rate is 1.3%, and compared with a background difference method and an inter-frame difference method, the positive detection rate and the false detection rate are greatly improved; the performance is obviously improved in three aspects of positive detection rate, false detection rate and processing time. Wherein the positive detection rate of the method disclosed by the invention is 92.7%; the false detection rate is 1.9%; wherein the treatment time is 7.2 s.

Description

technical field [0001] The invention belongs to the technical field of moving target detection of sequence images, and in particular relates to a fast detection method of moving targets based on sequence images and a computer vision system. Background technique [0002] At present, the closest existing technology: the automatic detection technology of moving objects has always been a research hotspot and a very challenging problem in the field of computer vision. This technology organically combines image processing, automatic control, information science and other technologies, and has become the underlying key technology of many computer vision systems in practical engineering applications, such as precision strike weapon guidance systems, computer-aided driving systems, missile terrain and map matching systems , Industrial assembly line automatic monitoring system, intelligent room, intelligent robot, medical imaging system, intelligent transportation system and other fie...

AI Technical Summary

Problems solved by technology

[0011] (2) The trade-off between calculation amount and accuracy. The current existing algorithms often cannot meet the characteristics of small calculation amount and high accuracy. Its detection accuracy is worth discussing. How to compromise between the amount of calculation and accuracy and find the best solution is the goal of all current algorithms.

Especially when the texture of the background is similar to the texture of the target, many current algorithms cannot get the correct results, and minimizing the impact of environmental factors on the target is a problem we must solve

[0013] (4) Relative motion between targets. For multiple moving targets, if they are not moving at the same speed, in most cases, there will be occlusion and overlapping of targets. The relative motion between targets will directly affect the sequence image. The target imaging effect brings great inconvenience to the target detection work, which is exactly the problem that many current algorithms cannot completely solve

[0016] (2) The trade-off between the amount of calculation and accuracy, the current existing algorithms often cannot meet the requirements of small amount of calculation and high accuracy; how to find the best solution between the amount of calculation and accuracy is the key to all current algorithms pursuit of goals

[0017] (3) The influence of the complex environment. In the real environment, there are many factors that affect the detection of moving objects. Many current algorithms cannot get correct results. Minimizing the influence of environmental factors on the target is a problem that we must solve.

[0018] (4) Relative motion between targets. For multiple moving targets, the relative motion between targets will directly affect the target imaging effect of sequence images, which brings great inconvenience to the target detection work. This is why many current algorithms insoluble problems

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