method for beruehrungslosen laengenmessung moving objects

• 1. 运动物体检测装置、运动物体检测方法、运动物体检测程序、运动物体跟踪装置、运动物体跟踪方法以及运动物体跟踪程序 [P] . 中国专利： CN103003842A . 2013-03-27
• 2. 运动物体检测装置、运动物体检测方法、运动物体跟踪装置、运动物体跟踪方法 [P] . 中国专利： CN103003842B . 2015.08.19
• 3. schaltungsanordnung to beruehrungslosen laengenmessung moving objects [P] . DD221826A1 . 1985-05-02

  机译： 非接触式长度测量运动物体的电路布置

• 4. method and arrangement for beruehrungslosen measurement in freely moving objects [P] . ATA145188A . 1990-01-15

  机译： 自由移动物体中的berunghrungloslosen测量的方法和装置

• 5. method for beruehrungslosen temperature and thickness measurement of moving objects strangfoermiger [P] . DD205517A1 . 1983-12-28

  机译： 物体运动温度和厚度的测量方法

• 1. Moving object detection method based on complementary multi resolution background models [J] . 屠礼芬, 仲思东, 彭祺 中南大学学报（英文版） . 2014,第006期
• 2. A Comparison of Moving Object Detection Methods for Real-Time Moving Object Detection [C] . Aditya Roshan, Yun Zhang Airborne intelligence, surveillance, reconnaissance (ISR) systems and applications XI . 2014
• 3. Occlusion tolerant object recognition methods for video surveillance and tracking of moving civilian vehicles. [D] . Pati, Nishikanta. 2007
• 4. A Trajectory and Orientation Reconstruction Method for Moving Objects Based on a Moving Monocular Camera [O] . Jian Zhou, Yang Shang, Xiaohu Zhang, 2015
• 5. Implementation of moving object detection using angle change method This paper conclude the work in terms of input and output parameter that has been considered while detecting the moving object in video surveillance. It also provides with a look up of our work area. This paper presents a discussion of various techniques like Background subtraction, Block matching, Frame differencing, Optical Flow used in motion detection and also include the comparative analysis of two algorithms first is Colour method(Space vector difference method) and second is angle change method. [O] . 2017

• 1. Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application [J] . LEE Hyun-jin ,SIM Tai-jung ,JANG Yong-ll . 重庆邮电大学学报（自然科学版） . 2004,第005期
• 2. Moving object detection method based on complementary multi resolution background models [J] . 屠礼芬 ,仲思东 ,彭祺 . 中南大学学报 . 2014,第006期
• 3. Multiple Tracking of Moving Objects with Kalman Filtering and PCA-GMM Method [J] . Emadeldeen Noureldaim ,Mohamed Jedra ,Nouredine Zahid . 智能信息管理（英文） . 2013,第2期
• 4. On Segmentation of Moving Objects by Integrating PCA Method with the Adaptive Background Model [J] . Noureldaim Emadeldeen ,Mohammed Jedra ,Noureldeen Zahid . 信号与信息处理（英文） . 2012,第3期
• 5. 运动背景下的运动物体检测方法 [C] . 宋治杭 ,江洁 ,张广军 . 第九届全国光电技术学术交流会 . 2010
• 6. 基于机器人手眼协调的运动物体抓取方法研究 [A] . 杨三永 . 2020