Real-time-robust pedestrian detection method aiming at specific scene

Abstract

The invention discloses a real-time-robust pedestrian detection method aiming at a specific scene, comprising the following steps: using a camera to carry out video collection in the specific scene; preprocessing the collected video information at real time by adopting a background difference method to obtain the video information of movable objects in the processed video; taking each movable object in the preprocessed video information as center to demarcate a sliding window; and detecting the image information in the sliding window by a support vector machine pedestrian classifier to match a pedestrian. The feature modeling training of the support vector machine pedestrian classifier comprises the following steps: 1) feature extraction, in which a head and shoulder training sample library is formed by the histogram features at head and shoulder gradient direction and local binaryzation model features; and 2) sample training, in which the head and shoulder training sample library formed by the histogram features at head and shoulder gradient direction and local binaryzation model features is placed into the support vector machine for training so as to obtain the support vector machine pedestrian classifier. The pedestrian detection method has the characteristics of high accuracy and instantaneity.

Description

technical field [0001] The invention relates to a real-time and robust pedestrian detection method for a specific scene, which belongs to the technical field of computer vision recognition. Background technique [0002] Object detection technology in video is one of the important research fields of digital video processing and computer vision, and it is also the core technology in key applications such as intelligent video surveillance, because object detection is the basis of subsequent important technologies such as object tracking and object recognition. Pedestrian detection is a typical and difficult part in target detection, because pedestrians are non-rigid bodies, and pedestrian movement has great flexibility, so pedestrian detection technology has very important research significance and application value in the entire target detection. [0003] The existing pedestrian detection technology is mainly divided into two aspects: based on moving target information and bas...

AI Technical Summary

Problems solved by technology

The advantage of the method based on the sliding window is that it is fast and suitable for practical application. The disadvantage is that it is easily affected by the mutual occlusion of pedestrian targets; the advantage of the method based on partial pedestrian template matching is that it is robust to occlusion, but the speed Not as good as sliding window based methods

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