Time-space condition information based moving object detection method

Abstract

The invention discloses a time-space condition information based moving object detection method. The method comprises the following steps: building a target detection time-space domain model through considering the significance of human visual time-space domains; calculating a conditional probability that a detection image belongs to a time-space domain reference background; carrying out nonlinear transformation on the conditional probability through negative logarithm checking so as to extract time-space conditional information; carrying out weighted summation on the conditional information of image in an adjacent domain through considering the local consistency of image characteristics; and as characteristics, carrying out object detection by using a linear classifier. The conditional probability is rapidly calculated by using a color histogram, and an image block replacing a single pixel is adopted for carrying out modeling and detection, thereby reducing the algorithm complexity and the storage space requirements; and through combining with an image block difference pre-detection mechanism, the object detection speed is increased. The method disclosed by the invention is low in algorithm complexity, less in storage space requirements and high in algorithm instantaneity, and can effectively suppress the background disturbance interference and isolate the noise influence; and by using the method, the real-time detection of moving objects on the existing computers is realized, therefore, the method is applicable to embedded intelligent camera platforms.

Description

Technical field: [0001] The invention relates to video moving target segmentation in computer vision, in particular to moving target detection in a video monitoring system. Background technique: [0002] Video moving object detection is one of the basic problems in computer vision applications. It is the basic support for advanced applications such as moving object tracking, moving object recognition, man-machine interface, action recognition, and behavior understanding. It has been used in specific applications such as video surveillance and video retrieval. It will play an important role in military, transportation, security, culture and entertainment and many other fields. [0003] The intelligent video surveillance system can liberate people from heavy video surveillance tasks, reduce manual intervention, reduce the workload of surveillance personnel, automatically discover moving targets in the surveillance environment, automatically track and identify moving targets, a...

AI Technical Summary

Problems solved by technology

[0012] Aiming at the problem that computational vision applications, especially dynamic scene-oriented moving target detection in intelligent video surveillance systems, are easily interfered by environmental noise such as background disturbances and cause false detections, the present invention aims to propose a dynamic scene-oriented detection system based on spatio-temporal condition information. A moving target detection method to suppress disturbing background interference in dynamic scenes and accurately detect moving targets

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