Research on small object detection of surveillance video images based on dynamic feature fusion
In actual monitoring scenes,monitoring video images are often affected by complex back-ground interference and light changes,which makes the detection of small targets very difficult and accurate.Therefore,small object detection methods for surveillance video images based on dynamic feature fusion are proposed.Firstly,the monitoring video images are prcproccssed,mainly for noise filtering to improve the image quality and highlight the small targets;secondly,the mathematical morphological processing techniques to extract the small target related features of the preprocessed im-age;finally,the dynamic feature fusion method detect the multiple features together to describe the small targets in the image more comprehensively.The small object detection method of surveillance video image is designed through this dynamic feature fusion method.The experimental results show that the new method has obvious advantages in detecting different types of small targets,and can real-ize the accurate monitoring of small targets,indicating that it has application value in the detection of small objects in surveillance video images.
dynamic feature fusionmonitoring video imagesmall object detectionimage qualitymathematical morphology
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