CAJ | 학술논문

针对传统帧间差分算法存在漏检、空洞和虚假目标等问题，提出一种改进的帧间差分算法。对几种常见色彩空间的运动目标检测效果进行实验对比分析，选取检测效果优良的色彩通道分量构建运动目标检测的混合色彩空间CbVb*。为充分利用帧间信息的相关性，根据CbVb*空间的场景像素变化特性，提出七帧帧间差分算法以获取运动目标的时域帧间差分；采用自适应阈值的Canny算子得到梯度域的运动目标边缘，将时域帧间差分与梯度域目标边缘进行融合，并对融合信息进行腐蚀和膨胀处理得到最终的检测结果。实验结果表明，改进的算法可以更准确地检测出运动目标，并具有较好的鲁棒性、适应性和实时性。
침대전통정간차분산법존재루검、공동화허가목표등문제，제출일충개진적정간차분산법。대궤충상견색채공간적운동목표검측효과진행실험대비분석，선취검측효과우량적색채통도분량구건운동목표검측적혼합색채공간CbVb*。위충분이용정간신식적상관성，근거CbVb*공간적장경상소변화특성，제출칠정정간차분산법이획취운동목표적시역정간차분；채용자괄응역치적Canny산자득도제도역적운동목표변연，장시역정간차분여제도역목표변연진행융합，병대융합신식진행부식화팽창처리득도최종적검측결과。실험결과표명，개진적산법가이경준학지검측출운동목표，병구유교호적로봉성、괄응성화실시성。
Aiming at the problem of leak detection, hollows and false targets in the traditional frame difference algorithm, an improved frame difference algorithm is presented. The effect of moving target detection is experimented and analyzed in several common color spaces, selecting excellent color channels to build hybrid color space CbVb*for moving target detection. In order to make full use of the correlation information among frames, seven frame difference algorithm is presented to calculate moving target frame difference in time domain according to the pixel changing characteristics of CbVb*, and edges of moving target in gradient domain is obtained by using Canny operator with adaptive threshold. Then, frame difference in time domain combines with target edges in gradient domain, and the combined information is carried on corrosion and expansion processing to get the final detection results. The experimental results show that the improved algorithm can more accurately detect moving targets, and have good robustness, adaptability and real-time performance.