Pedestrian detection method based on weighted part model and selective search segmentation

Abstract

The invention discloses a pedestrian detection method based on a weighted part model and selectiv search segmentation. The pedestrian detection method based on weighted part model consists of a weighted part model training part and a pedestrian human face detection part. A model construction process comprises steps of setting various weights on various parts on the basis of the construction process of a transformable part model and according to the different conditions of shielding parts of the pedestrian in a crowded scene, and utilizing a hidden support vector machine to perform training weight. The pedestrian detection process comprises steps of extracting HOG characteristic pyramid from an image, performing selective search and segmentation on the image in order to achieve the fact of employing less effective windows to contain more objects, and, on the basis of that, and adopting cascading detection based on threshold cutting to detect the pedestrian. The invention solves the problem of missing detection in a crowding scnene from two aspects, and reduces the invention and improves the pedestrian detection accuracy.

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...

AI Technical Summary

Problems solved by technology

However, in crowded scenes, due to the existence of partial occlusion, the visibility of pedestrian silhouettes is limited, and the detection rate of deformable part models decreases.

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