Method for detecting derelict without tracking process

Abstract

The invention discloses a method for detecting a derelict without a tracking process, which comprises the following steps: extracting pixel points probably belonging to the derelict from each frame of an image input by a camera by using a method based on the pixel points, and updating a Gaussian mixture model of a corresponding position by using RGB color information of each pixel point probably belonging to the derelict; and inputting the RGB color information of each pixel point in the image into the updated corresponding Gaussian mixture model, detecting out the pixel points matching with the color information describing the derelict probably appearing at the pixel point of the corresponding position, finishing the detection of the derelict in a video, and giving an alarm if a derelict is detected. The derelict detection without the tracking process contains no tracking process so that the derelict detection plays a very important role of improving the precise detection on the derelict in a monitored scene by a monitoring system in a complex scene. The method can be applied to an intelligent video monitoring system for the help of recognizing the derelict in a public scene so as to improve the security of public places.

Description

technical field [0001] The invention belongs to the field of pattern recognition, relates to technologies such as image processing and computer vision, and in particular relates to video-based abandonment detection. Background technique [0002] With the development of technology and the gradual reduction of the price of hardware equipment, a large number of surveillance cameras have been installed in various places, especially those places that are sensitive to security requirements, such as airports, communities, banks, parking lots, military bases, etc. Video surveillance of dynamic scenes is a frontier research direction that has attracted much attention in recent years. It detects, recognizes, tracks targets and understands their behavior from image sequences captured by cameras. Although surveillance cameras, which are the extension of human vision, are widely used in commercial applications, the current surveillance systems can only record video for later evidence col...

AI Technical Summary

Problems solved by technology

[0005] The abandoned object detection algorithm in the prior art needs precise detection and tracking process. When the scene is complicated, it will not only cause a large number of false detections but also greatly increase the computational complexity of the system. In order to solve the problems of the prior art, the present invention The purpose is to detect abandoned objects effectively, conveniently and accurately. To this end, a method for detecting abandoned objects based on video and without tracking process is provided.

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