Integration Method Research for the Detection of Moving Multi-Targets in Complex Dynamic Scenes

Xinggang Liu, Xiaochuan Luo, Shan-qing Li, Huiping Zhao
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引用次数: 2

Abstract

The moving target detection is the important area and key technology in machine vision, image understanding and terminal guidance. It finds a wide application in industry and military field. This paper presents a new approach to comprehensively detect the moving multi-targets in dynamic scenes. The method extracts the contour of each moving object based on the fusion of motion segmentation technique using difference of image and region growing process, and then the final result can be achieved after the optimization with active contour model. The advantages of this method are as follows: the complexity of the background information and the size of the target cannot affect the result of detection; viz. the detection method is of very robust and doesn't need motion compensation in the detecting process. The result of the simulation experiment has proved that the algorithm is reliable, practical and robust
复杂动态场景中运动多目标检测的集成方法研究
运动目标检测是机器视觉、图像理解和末制导中的重要领域和关键技术。它在工业和军事领域有着广泛的应用。提出了一种综合检测动态场景中运动多目标的新方法。该方法融合运动分割技术,利用图像差分和区域生长过程提取运动目标的轮廓,然后利用主动轮廓模型进行优化,最终得到运动目标的轮廓。该方法的优点是:背景信息的复杂性和目标的大小不会影响检测结果;即该检测方法具有很强的鲁棒性,并且在检测过程中不需要进行运动补偿。仿真实验结果证明了该算法的可靠性、实用性和鲁棒性
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