Title

改进帧差法和背景差法的多目标跟踪

Translated Titles

MULTIPLE TARGET TRACKING ON IMPROVED FRAME DIFFERENCE AND BACKGROUND DIFFERENCE METHOD

Authors

高勇钢;安徽师范大学数学计算机科学学院;安徽师范大学数学计算机科学学院,安徽 芜湖,241000

Key Words

智能视频监控 ; 高斯背景 ; 多目标跟踪 ; 连通域 ; 形态学处理 ; 计算机科学 ; intelligent video surveillance ; Gaussian background ; multi-target tracking ; connected component ; morphological pro-cessing

PublicationName

巢湖學院學報

Volume or Term/Year and Month of Publication

15卷6期(2013 / 12 / 19)

Page #

14 - 16

Content Language

簡體中文

Chinese Abstract

提出一种将改进的帧差法和改进高斯背景差法相结合来更好地分割出运动目标的算法,其中改进的帧差法是用连续3帧相互帧差之和可有效克服空洞效果;改进高斯背景差法是对像素点的邻域均值替代单个像素点建立高斯背景图像,这样可对光线变化有一定抗干扰能力。将二者结合起来,可较好地跟踪多个运动目标。

English Abstract

This paper proposes a new algorithm to better segment the moving target through combining an improved frame dif-ference method and the improved Gaussian background difference method. For the improved frame difference method,three successive frame differences are used to effectively overcome the effect of hole; for the improved Gaussian background differ-ence method,the pixel neighborhood averaging value replaces pixel dots to establish a single pixel Gaussian background image, so it has a certain anti-interference ability of the light changes. By combining the two method, it may be effective to track the multiple moving targets.

Topic Category 人文學 > 人文學綜合
社會科學 > 社會科學綜合