Real-time moving object detection for video surveillance system in FPGA

Author(s):  
Tomasz Kryjak ◽  
Mateusz Komorkiewicz ◽  
Marek Gorgon
2011 ◽  
Vol 467-469 ◽  
pp. 503-508 ◽  
Author(s):  
Zheng Yu Xie ◽  
Bao Tian Dong ◽  
Ying Chen ◽  
Qian Li

To detect moving objects from a video sequence is a fundamental and critical task in many computer vision applications. For China high-speed railway transport hub video surveillance system, we need a stable, fast and accurate moving object detection method to promptly find the congestion of passenger flow and other dangerous in hub. Through the comparative study on moving object detection, we find the average/median filtering is the most appropriate method for China high-speed railway transport hub video surveillance.


2017 ◽  
Vol 64 (6) ◽  
pp. 4945-4955 ◽  
Author(s):  
Chia-Hung Yeh ◽  
Chih-Yang Lin ◽  
Kahlil Muchtar ◽  
Hsiang-Erh Lai ◽  
Ming-Ting Sun

2013 ◽  
Vol 850-851 ◽  
pp. 884-888 ◽  
Author(s):  
Gang Yang ◽  
Xin Tan ◽  
Yong Rui Zhang

Video surveillance technology is playing an important role, and it is widely used in some fields. With the popularity of Android OS, it draws researchers attention to increase the development of video surveillance systems on the platform. This paper presents a smart real-time video surveillance system based on Android smart phone. This system detects moving object by using improved GMM (Gaussian Mixture Mode) algorithm, recognizes invading human with cascade classifier, processes image data with coder & decoder, transmits data over RTP (Real-time Transport Protocol). It also applies some methods to improve the accuracy of moving object detection and recognition, speed up recognition process. The experimental evidences show that it can realize real-time video surveillance and smart alarm.


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