数字技术与应用
數字技術與應用
수자기술여응용
DIGITAL TECHNOLOGY AND APPLICATION
2015年
1期
95-97
,共3页
运动区域%人体肤色%自适应光照法
運動區域%人體膚色%自適應光照法
운동구역%인체부색%자괄응광조법
moving regions%human skin color%the self-adaptive environment ilumination method
为了解决自然环境下,环境光照变化和复杂背景等因素对视频监视和目标识别带来的干扰,提出了一种基于人体肤色特征遵循环境光照变化规律的自适应光照法运动人体定位方法。自适应光照法,即在HSV颜色模型下,分别计算不同光照条件下所有肤色像素点的平均色调H、平均饱和度S、平均亮度V;再计算不同光照条件下每幅帧图像所有像素点的相对亮度值μ;以相对亮度值为横坐标,肤色的H、S、V的平均值分别作为纵坐标,拟合出肤色相对于亮度的规律公式,通过自动选取阈值,进一步消除了环境光照变化对肤色检测的影响,使肤色区域定位更为准确,且计算量小、不需要消耗大量的存储空间和处理时间。以一年为周期采集并处理和分析了大量不同季节和时段的视频图像数据,实验结果表明,在运动区域查找人体肤色,自适应光照法提高了复杂自然环境下光照下对运动人体定位的实时性和准确性。
為瞭解決自然環境下,環境光照變化和複雜揹景等因素對視頻鑑視和目標識彆帶來的榦擾,提齣瞭一種基于人體膚色特徵遵循環境光照變化規律的自適應光照法運動人體定位方法。自適應光照法,即在HSV顏色模型下,分彆計算不同光照條件下所有膚色像素點的平均色調H、平均飽和度S、平均亮度V;再計算不同光照條件下每幅幀圖像所有像素點的相對亮度值μ;以相對亮度值為橫坐標,膚色的H、S、V的平均值分彆作為縱坐標,擬閤齣膚色相對于亮度的規律公式,通過自動選取閾值,進一步消除瞭環境光照變化對膚色檢測的影響,使膚色區域定位更為準確,且計算量小、不需要消耗大量的存儲空間和處理時間。以一年為週期採集併處理和分析瞭大量不同季節和時段的視頻圖像數據,實驗結果錶明,在運動區域查找人體膚色,自適應光照法提高瞭複雜自然環境下光照下對運動人體定位的實時性和準確性。
위료해결자연배경하,배경광조변화화복잡배경등인소대시빈감시화목표식별대래적간우,제출료일충기우인체부색특정준순배경광조변화규률적자괄응광조법운동인체정위방법。자괄응광조법,즉재HSV안색모형하,분별계산불동광조조건하소유부색상소점적평균색조H、평균포화도S、평균량도V;재계산불동광조조건하매폭정도상소유상소점적상대량도치μ;이상대량도치위횡좌표,부색적H、S、V적평균치분별작위종좌표,의합출부색상대우량도적규률공식,통과자동선취역치,진일보소제료배경광조변화대부색검측적영향,사부색구역정위경위준학,차계산량소、불수요소모대량적존저공간화처리시간。이일년위주기채집병처리화분석료대량불동계절화시단적시빈도상수거,실험결과표명,재운동구역사조인체부색,자괄응광조법제고료복잡자연배경하광조하대운동인체정위적실시성화준학성。
In order to solve the interference of environmental ilumination change and complex background to the video surveilance and target recognition in natural environment, this article puts forward an adaptive ilumination method to position moving human body based the theory on that the human skin feature folows the ilumination change. The adaptive ilumination method is, respectively calculating the average H,S,V of al the skin color pexels in the HSV color model,then calculating the relative value of V of the entire image; fitting the formula by taking the relative value of V as axis of abscissas, and the average H,S,V as the respective axis of ordinates. It eliminates the influence of environmental ilumination change by means of choosing threshold automaticaly,making the positioning of skin area more accurately,and it doesn’t need to consume large amounts of storage space and processing time. The experiment colects and processes a great deal of video image data of different seasons and time, the results shows that the adaptive ilumination method improves the instantaneity and the accuracy of positioning moving human body in complex natural entironment and ilumination intensity.