计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2014年
1期
268-271
,共4页
视频监控%H.264编码域%运动检测%显著运动%绝对差值和%实时性
視頻鑑控%H.264編碼域%運動檢測%顯著運動%絕對差值和%實時性
시빈감공%H.264편마역%운동검측%현저운동%절대차치화%실시성
video surveillance%H.264 encoding field%motion detection%salient motion%Sum of Absolute Difference(SAD)%real-time
视频监控中运动目标检测算法易受背景、噪声等因素的影响，导致运动检测准确性降低。针对该问题，提出一种基于H.264编码域的显著运动目标检测改进算法。该算法基于编码过程中帧间运动预测模块输出像素值的绝对差值和，计算其标准差以作为运动判据，同时自适应设置运动判断阈值，以降低背景和噪声的影响。实验结果表明，相比于传统的低复杂度算法，该算法能有效降低背景和噪声等因素的影响，提高显著运动目标的检测准确性。相比于传统的运动检测算法，该算法保持了计算复杂度低的特点，算法复杂度仅为帧间差分法的18.3%，更适用于实时性要求高的监控系统。
視頻鑑控中運動目標檢測算法易受揹景、譟聲等因素的影響，導緻運動檢測準確性降低。針對該問題，提齣一種基于H.264編碼域的顯著運動目標檢測改進算法。該算法基于編碼過程中幀間運動預測模塊輸齣像素值的絕對差值和，計算其標準差以作為運動判據，同時自適應設置運動判斷閾值，以降低揹景和譟聲的影響。實驗結果錶明，相比于傳統的低複雜度算法，該算法能有效降低揹景和譟聲等因素的影響，提高顯著運動目標的檢測準確性。相比于傳統的運動檢測算法，該算法保持瞭計算複雜度低的特點，算法複雜度僅為幀間差分法的18.3%，更適用于實時性要求高的鑑控繫統。
시빈감공중운동목표검측산법역수배경、조성등인소적영향，도치운동검측준학성강저。침대해문제，제출일충기우H.264편마역적현저운동목표검측개진산법。해산법기우편마과정중정간운동예측모괴수출상소치적절대차치화，계산기표준차이작위운동판거，동시자괄응설치운동판단역치，이강저배경화조성적영향。실험결과표명，상비우전통적저복잡도산법，해산법능유효강저배경화조성등인소적영향，제고현저운동목표적검측준학성。상비우전통적운동검측산법，해산법보지료계산복잡도저적특점，산법복잡도부위정간차분법적18.3%，경괄용우실시성요구고적감공계통。
As the algorithm of motion detection in video surveillance system is easily being affected by movements and noises in video background, and the result of salient motions is not accurate enough, an improved algorithm based on H.264 encoding is proposed to solve it. The algorithm is based on the Sum of Absolute Difference(SAD) of encoded macro-blocks, which are produced in the motion estimation process of H.264 encoding, then calculates its variance as the indicator for motion, and an auto-adjust threshold is used in the algorithm at the same time to decrease the effect of movements and noises in background. Experimental results show that the detection can decrease the effect of background movements and noises and make the salient motion detection more accurate, and keep the property of low complexity, which is 18.3%of frame differ algorithm, to make itself more suitable for real-time video surveillance system.
