CAJ | 학술논문

视频目标检测中,光照变化、摄像机噪声和错误背景更新是目前的难题.提出一种带跟踪补偿的时空背景差彩色图像运动目标检测方法.首先,建立混合高斯背景模型,通过在彩色图像差分中加入影响因子消除光照变化;接着,通过帧间差分及邻域差分,加上运动跟踪种子补偿,获得真实运动目标的种子点;在背景差分粗前景基础上,根据连通区域运动种子点过滤法,检测出最终的真实而且完整的前景目标.通过多个实际视频监控的视频数据集的实验,结果表明该方法的目标检测准确率和完整性均有很大程度的提高.
시빈목표검측중,광조변화、섭상궤조성화착오배경경신시목전적난제.제출일충대근종보상적시공배경차채색도상운동목표검측방법.수선,건립혼합고사배경모형,통과재채색도상차분중가입영향인자소제광조변화;접착,통과정간차분급린역차분,가상운동근종충자보상,획득진실운동목표적충자점;재배경차분조전경기출상,근거련통구역운동충자점과려법,검측출최종적진실이차완정적전경목표.통과다개실제시빈감공적시빈수거집적실험,결과표명해방법적목표검측준학솔화완정성균유흔대정도적제고.
Varying illumination,noise of camera and inadequate background update are the challenges in the current video object detection. A moving object detection method with tracking compensation in color images based on space-time background difference was proposed. First,this paper established a Gauss background mixture model;and eliminated the varying illumination by adding impact factor in the color image difference. Then frame difference and domain difference were fused with moving tracking seeds compensation to get the seeds of real moving objects;based on the rough foreground which was got by background difference,according to the filter method based on the moving seeds which connected the region of moving objects,the final real and integral foreground target was found. The data collected from many real surveillance videos show that the accuracy and integrity of object detection are greatly improved by using this method.