计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2015年
6期
240-246,257
,共8页
亚森·艾则孜%艾山·吾买尔
亞森·艾則孜%艾山·吾買爾
아삼·애칙자%애산·오매이
运动目标检测%视频监控%背景消除%灰度特征模型%特征分析
運動目標檢測%視頻鑑控%揹景消除%灰度特徵模型%特徵分析
운동목표검측%시빈감공%배경소제%회도특정모형%특정분석
moving target detection%video surveillance%background subtraction%gray feature model%feature analysis
针对视频监控中运动目标检测时间复杂度高的问题,提出一种基于灰度特征模型的背景消除方法。通过提取视频图像像素的灰色特征,将视频图像中每个位置上的像素点用一个灰度特征集合来表征,并以此为依据计算各像素点灰度值与灰度特征集合中的像素点灰度值之间的距离,判别对应像素点的背景与前景状态,从而实现视频图像的背景消除。实验结果表明,该方法在处理效果接近的情况下,可以显著提升运动目标的检测速度,降低处理的时间复杂度。
針對視頻鑑控中運動目標檢測時間複雜度高的問題,提齣一種基于灰度特徵模型的揹景消除方法。通過提取視頻圖像像素的灰色特徵,將視頻圖像中每箇位置上的像素點用一箇灰度特徵集閤來錶徵,併以此為依據計算各像素點灰度值與灰度特徵集閤中的像素點灰度值之間的距離,判彆對應像素點的揹景與前景狀態,從而實現視頻圖像的揹景消除。實驗結果錶明,該方法在處理效果接近的情況下,可以顯著提升運動目標的檢測速度,降低處理的時間複雜度。
침대시빈감공중운동목표검측시간복잡도고적문제,제출일충기우회도특정모형적배경소제방법。통과제취시빈도상상소적회색특정,장시빈도상중매개위치상적상소점용일개회도특정집합래표정,병이차위의거계산각상소점회도치여회도특정집합중적상소점회도치지간적거리,판별대응상소점적배경여전경상태,종이실현시빈도상적배경소제。실험결과표명,해방법재처리효과접근적정황하,가이현저제승운동목표적검측속도,강저처리적시간복잡도。
In the respect of moving target detection,focused on the high complexity of present algorithms,a gray feature model-based background subtraction method is proposed. By extracting the gray features of the pixels in the video image, the pixel of the video image can be presented by a set of gray features, which is taken as a basis for determining the background/foreground state of the corresponding pixel in the video image by computing the distance between the gray value of the pixel in the video image and the gray value of the pixel in the gray feature set. Experimental results show that, the gray feature model-based background subtraction method can significantly enhance the processing speed and reduce the time complexity of the moving target detection,in case of the same detecting results.