激光与光电子学进展, 2021, 58 (4): 0415002, 网络出版: 2021-02-08   

基于边缘多通道梯度模型的多运动目标检测 下载: 847次

Multi-Moving Object Detection Based on Edge Multi-Channel Gradient Model
作者单位
上海工程技术大学电子电气工程学院, 上海 201620
摘要
针对视频序列运动目标检测易受环境噪声干扰、提取目标轮廓困难的问题,提出了一种基于边缘多通道梯度改进模型的多运动目标检测算法。首先,利用Canny算子获取视频序列中目标的边缘信息,并根据人类视觉色彩的恒常特性,对目标边缘建立时间、空间、颜色多通道梯度模型;然后,利用该模型获取目标边缘像素点的运动状态描述信息,实现背景边缘和运动物体边缘的分离;最后,将间断边缘像素点与其邻域点的运动状态相关联,以连接目标间断边缘,实现运动目标轮廓的提取,并将连接后的轮廓进行形态学处理以分割出目标。实验结果表明,与同类型算法相比,本算法在运动目标检测中具有的实时性、准确性和鲁棒性更好。
Abstract
Aiming at the problems that moving object detection in video sequence is easily interfered by environmental noise and the object contour is difficult to extract, this paper proposes a multi-moving object detection algorithm based on the improved model of edge multi-channel gradient. First, the Canny operator is used to obtain the edge information of the object in the video sequence, and a multi-channel gradient model of time, space and color is established on the object edge according to the constant characteristics of human visual color; Then the model is used to obtain the motion state description information of the object edge pixel and achieve the separation of the background edge and the edge of the moving object; Finally, the discontinuity edge pixels are associated with the motion state of their neighboring points to connect the discontinuity edges of the object, which achieve the complete extraction of the contour of the moving object; The connected contour is morphologically processed to segment the object. Experimental results show that, compared with similar algorithms, the algorithm has superior real-time performance, accuracy, and robustness in moving object detection.

陈婕妤, 奚峥皓, 卢俊鑫. 基于边缘多通道梯度模型的多运动目标检测[J]. 激光与光电子学进展, 2021, 58(4): 0415002. Jieyu Chen, Zhenghao Xi, Junxin Lu. Multi-Moving Object Detection Based on Edge Multi-Channel Gradient Model[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0415002.

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