A Robust Detection Method for Moving Targets under Rotating Scanning of Area Array Camera

Abstract

The invention provides a robust method for moving target detection under rotational scanning conditions of an area array camera, including feature matching; distortion compensation; cylindrical projection model and background modeling; and target detection. Establish the camera equation under the camera scanning working mode, linearize the equation, and use the point-line duality of image space and parameter space to use Hough transformation to convert the straight line detection problem in the image space into the parameter space to realize the equation Fast and robust estimation of parameters to achieve simultaneous background motion and image distortion compensation. On this basis, the camera image is projected into the cylindrical background model to establish a panoramic cylindrical model. The invention provides a robust method for moving target detection under rotational scanning conditions of an area array camera. The invention can eliminate the influence of background motion and image distortion on moving target detection on the premise of ensuring real-time performance, and accurately and quickly extract the moving target.

Description

technical field [0001] The invention belongs to the technical field of image processing, relates to background modeling and target detection, and provides a robust detection method for moving targets under rotational scanning of an area array camera. Background technique [0002] In recent years, with the development of computer vision, moving target detection technology has been widely used in military, environmental monitoring and other fields. However, most of the current research on moving target detection is based on static platforms, and further research is still needed on moving target detection under moving platforms. [0003] Line scan cameras are usually used to obtain high-speed, high-precision panoramic images of large scenes. However, line array cameras have high requirements for platform stability, are expensive to manufacture, and require continuous scanning line by line when acquiring images, and cannot achieve "staring" monitoring of targets like area array...

AI Technical Summary

Problems solved by technology

Among them, the inter-frame difference method and the background subtraction method have many improved algorithms, which can better detect the target and the calculation is simple, but if no motion compensation is performed, these methods can only be applied to static platforms

The optical flow method can be applied to the target detection under the moving platform, but its computational complexity is high, and it is difficult to achieve real-time

In addition, none of the above methods considered the non-uniform distortion caused by the planar imaging mechanism

Therefore, how to realize the real-time and robust detection of moving targets under the moving platform still faces a huge challenge.

Images