基于帧间差分的运动区域目标自适应识别方法研究

Research on adaptive identification of moving-area target based on inter-frame difference

为了提高运动区域目标的检测识别能力,提出了基于帧间差分的运动区域目标自适应识别方法。首先构建运动区域目标检测的图像采集模型,对采集的运动区域目标图像采用目标尺度响应分析方法进行边缘轮廓特征检测,提取卷积区域的对比度特征量,根据运动区域目标的帧间差异性统计值进行信息融合处理,然后构建运动区域目标图像的信息融合模型,获取候选目标中心位置,采用目标尺寸自适应计算方法进行运动区域目标的自适应特征提取,根据帧间差分特征分布实现了对运动区域目标自适应识别。仿真结果表明,采用该方法进行运动区域目标识别的自适应性较好,目标识别的准确度较高。

In order to improve the detection and recognition ability of moving region targets,an adaptive recognition method of moving region targets based on inter-frame difference is proposed.The image acquisition model of moving area target detection is constructed,and the edge profile feature is detected by target scale response analysis method,and the contrast feature quantity of convolution area is extracted.According to the statistical value of the difference between frames of the moving area target,the information fusion model of the moving area target image is constructed,and the candidate target center position is obtained.The adaptive feature extraction of moving area target is carried out by using the adaptive calculation method of target size,and the adaptive recognition of moving area target is realized according to the feature distribution of inter-frame difference.The simulation results show that the proposed method has good adaptability and high accuracy in moving area target recognition.