CAJ | 학술논문

提出了一种新的基于HSV颜色空间的阴影检测和误判检测的自适应背景模型运动目标检测算法,并将其应用于运动物体的分割.该算法较好地解决了背景模型的提取、更新、背景扰动、外界光照变化等问题.实验结果表明了该算法的实时性、可靠性和准确性较好.
제출료일충신적기우HSV안색공간적음영검측화오판검측적자괄응배경모형운동목표검측산법,병장기응용우운동물체적분할.해산법교호지해결료배경모형적제취、경신、배경우동、외계광조변화등문제.실험결과표명료해산법적실시성、가고성화준학성교호.
In the paper, we propose an adaptive HSV color background model with shadow and false detection to segment moving ob-jects. The algorithm effectively deals with the problems of the abstraction and update of background, background disturbance, illumi-nation changes etc. Experiments show that the method is reliable, and can be used in relevant real-time applications.