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APPLYING EDGE DENSITY BASED REGION GROWING WITH FRAME DIFFERENCE FOR DETECTING MOVING OBJECTS IN VIDEO SURVEILLANCE SYSTEMS

机译：应用基于边缘密度的区域生长与框架差异检测视频监控系统中的运动目标

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Abhilash K. Sonara; Pinky J. Brahmbhatt; Manoj D. Chaudhary;
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年度 2015
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1. Speeding Up Edge Segment Based Moving Object Detection Using Background Subtraction in Video Surveillance System [J] . Amir S. Almallah, Jalal H. Awad Oriental journal of computer science and technology . 2014,第2期

机译：视频监控系统中基于背景减法的基于边缘段的运动目标检测
2. Speeding Up Edge Segment Based Moving Object Detection Using Background Subtraction in Video Surveillance System [J] . Amir S. Almallah, Jalal H. Awad Oriental journal of computer science and technology . 2014,第2期

机译：视频监控系统中基于背景减法的基于边缘段的运动目标检测
3. Speeding Up Edge Segment Based Moving Object Detection Using Background Subtraction in Video Surveillance System [J] . Amir S. Almallah, Jalal H. Awad Oriental journal of computer science and technology . 2014,第2期

机译：视频监控系统中基于背景减法的基于边缘段的运动目标检测
4. Twin wavelet frame difference based multiple moving object detection and tracking in video surveillance applications [C] . Hemlata Soni, Priya Gupta IEEE International Conference on Recent Advances and Innovations in Engineering . 2016

机译：基于双小波帧差的视频监控应用中的多运动物体检测和跟踪
5. Automatic tracking of moving objects in video for surveillance applications. [D] . Narayana, Manjunath. 2007

机译：自动跟踪视频中的移动对象，以进行监视。
6. Detecting Malicious False Frame Injection Attacks on Surveillance Systems at the Edge Using Electrical Network Frequency Signals [O] . Deeraj Nagothu, Yu Chen, Erik Blasch, 2019

机译：使用电网频率信号检测边缘监视系统上的恶意虚假帧注入攻击
7. 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

机译：使用角度变化方法的移动物体检测的实现本文在检测视频监控中检测到移动对象的同时考虑的输入和输出参数方面的工作结束。它还提供了我们工作区的抬头。本文提出了与背景减法，块匹配，帧差异，在运动检测中使用的光流等来的各种技术的讨论，并且还包括两个算法的比较分析首先是颜色方法（空间向量差法）和第二是角度变化方法。

APPLYING EDGE DENSITY BASED REGION GROWING WITH FRAME DIFFERENCE FOR DETECTING MOVING OBJECTS IN VIDEO SURVEILLANCE SYSTEMS

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