Global vision object detection using an improved Gaussian Mixture model based on contour.

ABSTRACT: Object detection plays an important role in the field of computer vision. The purpose of object detection is to identify the objects of interest in the image and determine their categories and positions. Object detection has many important applications in various fields. This article addresses the problems of unclear foreground contour in moving object detection and excessive noise points in the global vision, proposing an improved Gaussian mixture model for feature fusion. First, the RGB image was converted into the HSV space, and a mixed Gaussian background model was established. Next, the object area was obtained through background subtraction, residual interference in the foreground was removed using the median filtering method, and morphological processing was performed. Then, an impr

SUBMITTER: Sun L 

PROVIDER: S-EPMC10803047 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature