And a method for video surveillance system to track an object that is moving in the geospatial model

• 1. 提供对地理空间模型中移动目标跟踪的视频监视系统和相关方法 [P] . 中国专利： CN101517431A . 2009-08-26
• 2. 基于空间对象类化模型及网格体索引的异构地理空间数据管理技术 [P] . 中国专利： CN103049464A . 2013-04-17
• 3. VIDEO SURVEILLANCE SYSTEM PROVIDING TRACKING OF A MOVING OBJECT IN A GEOSPATIAL MODEL AND RELATED METHODS [P] . 欧洲知识产权局专利： EP2074440A2 . 2009-07-01

  机译： 在地理空间模型中提供运动物体跟踪的视频监视系统及相关方法

• 4. Video Surveillance System Providing Tracking of a Moving Object in a Geospatial Model and Related Methods [P] . 美国专利： US2008074494A1 . 2008-03-27

  机译： 在地理空间模型中提供对运动对象的跟踪的视频监视系统及相关方法

• 5. VIDEO SURVEILLANCE SYSTEM PROVIDING TRACKING OF A MOVING OBJECT IN A GEOSPATIAL MODEL AND RELATED METHODS [P] . CA2664374A1 . 2008-09-04

  机译： 在地理空间模型中提供运动物体跟踪的视频监视系统及相关方法

• 1. Effective method for tracking multiple objects in real-time visual surveillance systems [J] . Wang Yaonan, Wan Qin, Yu Hongshan 系统工程与电子技术（英文版） . 2009,第006期
• 2. Effective method for tracking multiple objects in real-time visual surveillance systems [J] . Wang Yaonan, Wan Qin, Yu Hongshan 系统工程与电子技术：英文版 . 2009,第006期
• 3. A new approach for real time object detection and tracking on high resolution and multi-camera surveillance videos using GPU [J] . Mohammad Farukh Hashmi, Ritu Pal, Rajat Saxena, 中南大学学报（英文版） . 2016,第001期
• 4. Fast and robust algorithm of tracking multiple moving objects for intelligent video surveillance systems [J] . Kim J.S., Yeom D.H., Joo Y.H. Consumer Electronics, IEEE Transactions on . 2011,第3期
• 5. Video stabilization with moving object detecting and tracking for aerial video surveillance [J] . Walha Ahlem, Wali Ali, Alimi Adel M. Multimedia Tools and Applications . 2015,第17期
• 6. Multi-object Detection and Tracking (MODT) Machine Learning Model for Real-Time Video Surveillance Systems [J] . Elhoseny M. Circuits, systems, and signal processing . 2020,第2期
• 7. Semi-automatic System for Rapid Annotation of Moving Objects in Surveillance Videos using Deep Detection and Multi-object Tracking Techniques [C] . Noor M. AL-Shakarji, Ekincan Ufuktepe, Filiz Bunyak, IEEE Applied Imagery Pattern Recognition Workshop . 2020
• 8. Occlusion tolerant object recognition methods for video surveillance and tracking of moving civilian vehicles. [D] . Pati, Nishikanta. 2007
• 9. Memory-Based Multiagent Coevolution Modeling for Robust Moving Object Tracking [O] . Yanjiang Wang, Yujuan Qi, Yongping Li 2013
• 10. 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
• 11. Salient Points for Tracking Moving Objects in Video [R] . Kamath, C., Gezahegne, A., Newsam, S., 2004

• 1. Multi Object Tracking Using Gradient-Based Learning Model in Video-Surveillance [J] . D.Mohanapriya ,K.Mahesh . 中国通信 . 2021,第010期
• 2. 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
• 3. 基于本体的地理空间对象多尺度模型 [C] . Yang Yaoming ,杨耀明 ,Tang Xiaoan . 第18届全国图象图形学学术会议 . -1
• 4. 面向智能视频监控系统的运动对象分割和跟踪方法研究 [A] . 顾建栋 . 2008