Real-time target detection method based on oriented gradient two-value mode and soft cascade SVM

Abstract

The invention provides a real-time target detection method based on the oriented gradient two-value mode (ORBP) and soft cascade SVM, and aims at solving the problems that the target detection in the prior art is low in instantaneity and robustness. The method comprises the steps that 1) characteristic of the oriented gradient two-value mode is described; 2) a soft cascade classifier SVM is established; 3) characteristic training is carried out on the soft cascade classifier SVM; and 4) a target window is tracked and updated. ORBP has the advantages that rotation, scale, translation and brightness are not changed, the soft cascade SVM improves the target detection robustness in complex scenes, and tracking of the target window improves the instantaneity of target detection. The method provided by the invention can be applied to man-machine interaction and intelligent traffic monitoring fields, and the target detection performance is excellent.

Description

technical field [0001] The present invention relates to the technical field of digital image processing, relates to target detection and tracking methods in computer vision, can be applied to the fields of human-computer interaction and intelligent transportation, and specifically relates to a real-time Object detection method. Background technique [0002] Target detection is to automatically analyze the image to detect the target of interest through computer information processing technology. As an important topic of image understanding, target detection is widely used in military and civilian scenarios. In the real scene, due to the presence of other interfering moving objects in the background of the scene, changes in the external lighting environment, and various and rapid changes in the shape of the target, it brings many difficulties to target detection. How to achieve efficient and stable target detection has important practical research significance. [0003] Zha...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the above-mentioned prior art, the present invention proposes a real-time target detection method based on directional gradient binary mode and soft cascaded SVM in order to solve the problems of low robustness and poor real-time performance of existing target detection methods in complex scenes , excellent target detection performance and easy engineering implementation

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