查林彬, 时东锋, 黄见, 王英俭. 单像素几何矩探测运动物体定位技术(特邀)[J]. 红外与激光工程, 2021, 50(12): 20211060. DOI: 10.3788/IRLA20211060
引用本文: 查林彬, 时东锋, 黄见, 王英俭. 单像素几何矩探测运动物体定位技术(特邀)[J]. 红外与激光工程, 2021, 50(12): 20211060. DOI: 10.3788/IRLA20211060
Zha Linbin, Shi Dongfeng, Huang Jian, Wang Yingjian. Geometric moment detection with single-pixel for moving object localization (Invited)[J]. Infrared and Laser Engineering, 2021, 50(12): 20211060. DOI: 10.3788/IRLA20211060
Citation: Zha Linbin, Shi Dongfeng, Huang Jian, Wang Yingjian. Geometric moment detection with single-pixel for moving object localization (Invited)[J]. Infrared and Laser Engineering, 2021, 50(12): 20211060. DOI: 10.3788/IRLA20211060

单像素几何矩探测运动物体定位技术(特邀)

Geometric moment detection with single-pixel for moving object localization (Invited)

  • 摘要: 针对快速实时定位运动物体的需求,提出了一种使用几何矩探测的单像素快速定位运动物体的方法。该方法的核心是通过探测运动物体的质心实现快速定位运动物体。根据几何矩性质构造3个几何矩照明光,并照射运动物体,利用单像素探测器收集运动物体与调制光相互作用后的反射或透射光的强度值。根据单像素成像理论,探测强度值与物体的零阶和一阶几何矩值相对应。标识物体位置的质心参数可由物体的零阶和一阶几何矩值获取。结合数字微镜调制器(DMD)和时间抖动的方法产生几何矩照明光,利用所提方法在不成像的前提下分别实现了帧频约为500 fps和1 000 fps运动物体定位。所提方法获取质心的误差在1.63个像素以内,均方误差为0.118 3个像素。文中所提方法为使用单像素探测器实现快速追踪运动物体提供了一种新思路。

     

    Abstract: In response to the demands of fast real-time positioning of a moving object, a single-pixel fast moving object positioning method using geometric moment detection was proposed. The key to the approach was to locate the moving object by detecting the centroid of the moving object. According to the properties of geometric moments, three geometric moment illumination lights were constructed and illuminated the moving object. A single-pixel detector was used to collect the intensities of the reflected or transmitted light after the moving object interacted with the modulated light. According to the theory of single-pixel imaging, the detected intensity values corresponded to the zero-order and first-order geometric moment values. The centroid that identified the object position parameter could be obtained by corresponding calculations from the zero-order and first-order geometric moment values. The proposed method could reach an approximately frame rate of 500 fps and 1 000 fps to position a moving object without imaging. The error of the centroid obtained by the proposed method was within 1.63 pixels, and the mean square error was 0.118 3 pixels. The proposed method provided a new way for tracking of a fast-moving object.

     

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