针对人体目标检测中目标处于图像边缘或目标较小时,MobileNet-SSD算法检测效果不佳的问题,提出一种基于MobileNet-SSD算法与帧差法结合的人体目标检测方法.首先,基于帧差法实现运动目标粗略位置的获取;其次以粗略位置为基准计算目标运动区域,并在检测原图中截取该区域,实现自适应感兴趣区域(Region of Interesting,ROI)的获取,并将ROI送入MobileNet-SSD模型中实现人体目标检测;最后使用MobileNet-SSD算法与帧差法结合的人体目标检测方法开展人体目标检测试验.结果表明:基于MobileNet-SSD 与帧差法结合的人体目标检测方法能有效地检测出图像边缘区域的人体目标,且不影响原有检测速度.
A Human Object Detection Method Based on the Combination of MobileNet-SSD and Frame Difference Method
Aiming at the problem of poor detection effect of MobileNet-SSD algorithm when the target is at the edge of the image or the target is small in human target detection,this paper proposes a human target detection method based on MobileNetSSD combined with frame difference method.Firstly,the coarse position of the moving target is obtained based on the frame difference method;Secondly,the motion region of the target is calculated based on the rough position,and the region is intercepted in the detection image to achieve the ac-quisition of he adaptive region of interest(ROI),and then the ROI is sent into the MobileNet-SSD model to achieve human target de-tection;Finally,using the human target detection method based onMobileNet-SSD combined with frame difference method to carry out the human target detection experiment.The results show that the human target detection method based on MobileNet-SSD combined with frame difference method can effectively detect the human target in the image edge region without affecting the original detection speed.
Human target detectionImage processingMobileNet-SSDFrame difference method
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