Pedestrian Detection Method Based on Weighted Component Model and Selective Search Segmentation

A component model and pedestrian detection technology, which is applied in the field of pedestrian detection, can solve the problems of the detection rate drop of the deformable component model and the limited visibility of pedestrian outlines, etc.
CN105138983BActive Publication Date: 2019-06-28河北燕大燕软信息系统有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
河北燕大燕软信息系统有限公司
Publication Date
2019-06-28

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Abstract

A pedestrian detection method based on weighted part model and selective search segmentation, which consists of a weighted part model training part and a pedestrian detection part. Model construction process: Based on the construction process of the deformable component model, different weights are set for different components according to the different occlusion conditions of pedestrians in crowded scenes, and the hidden support vector machine is used to train the weights. Pedestrian detection process: extract the HOG feature pyramid in the picture, and selectively search and segment the picture to achieve more objects with fewer effective windows. On this basis, cascade detection based on threshold clipping is used. Pedestrian detection. The method of the invention solves the problem of missed detection of pedestrians in a crowded scene from two angles, and has the advantages of reducing interference, improving the accuracy of pedestrian detection, and the like.
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Description

technical field

[0001] The invention relates to the field of pedestrian detection, in particular to a pedestrian detection method using a weight-based deformable component model and selective search segmentation. Background technique

[0002] Pedestrian detection based on static images is to separate the human body appearing in the image from the background and precisely locate it. It is widely used in human-computer interaction, intelligent video surveillance, intelligent transportation and other fields. It is the basis of target classification and behavior understanding. One of the important topics in the field of vision research. However, when pedestrians are the subject of detection, they often appear in very complex backgrounds, and pedestrians have both rigid and flexible characteristics, and their appearance is easily affected by clothing, scale, occlusion, posture and viewing angle, which also makes pedestrian detection It has not only become one of the key points i...

Claims

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