Method for detecting specific kind objective in movement scene in real time

Abstract

The invention provides a method for detecting a specific kind objective in a movement scene in real time. The method includes the steps that single-frame significance detection is conducted on an obtained video frame sequence, and a significance area which most probably comprises a suspected objective is obtained; an offline training deep learning specific objective classifier is used for conducting target classification judgment on various significance areas, and the property of each significance area is determined; after a concerned specific kind objective is found, a current frame significance detection result serves as the start, and tracking and recording of the subsequent movement track of the objective are achieved. According to the method for detecting the specific kind objective in the movement scene in real time, on the condition that a camera bearing platform moves, the significance areas with few suspected objectives are rapidly determined based on a single-frame image, the calculated amount of full figure searching is reduced, and the algorithm meets the condition of real-time calculation. An adopted deep reliability network has multiple implied layers, has the more excellent feature expression capability than a superficial network and still has the superior classification performance on target images with greatly-changed illumination and appearances.

Description

technical field [0001] The invention belongs to the technical field of video image processing, and in particular relates to a real-time detection method for a specific type of target in a moving scene. Background technique [0002] The moving target detection technology in the dynamic background is an important topic in computer vision, and it is also the key underlying technology of the computer vision system. The target of interest, and the rapid implementation of the detection of the target's position and attitude and other information. With the remarkable improvement of computer processing power, this technology has more and more extensive applications in many fields. [0003] In modern military systems, the key technologies of the moving target detection room radar scanning system and various precision weapon strike systems are widely used, such as: real-time multi-target detection in air surveillance, airborne or shipborne forward-looking image guidance technology , ...

AI Technical Summary

Problems solved by technology

[0004] At this stage, there are many target detection methods, such as: hog feature and pedestrian detection technology of SVM classification, variable part model (DPM) detection technology, etc. These detection methods are based on sliding scanning of different sizes of the whole image to achieve target detection Yes, although this type of method has high accuracy, but the calculation complexity is high, and the processing speed cannot meet the real-time requirements

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