Meeting the Application Requirements of Intelligent Video Surveillance Systems in Moving Object Detection

2005 ◽  
pp. 653-662 ◽  
Author(s):  
Donatello Conte ◽  
Pasquale Foggia ◽  
Michele Petretta ◽  
Francesco Tufano ◽  
Mario Vento
Keyword(s):  
Object Detection ◽  
Video Surveillance ◽  
Moving Object Detection ◽  
Moving Object ◽  
Surveillance Systems ◽  
Intelligent Video Surveillance ◽  
Application Requirements

Moving object detection using unstable camera for video surveillance systems

Optik ◽  
2015 ◽  
Vol 126 (20) ◽  
pp. 2436-2441 ◽  
Author(s):  
Seungwon Lee ◽  
Nahyun Kim ◽  
Kyungwon Jeong ◽  
Kyungju Park ◽  
Joonki Paik
Keyword(s):  
Object Detection ◽  
Video Surveillance ◽  
Moving Object Detection ◽  
Moving Object ◽  
Surveillance Systems

Study of Video Object Detection and Shadow Suppression Algorithms

2014 ◽  
Vol 596 ◽  
pp. 374-378
Author(s):  
Qi Lin Gai ◽  
Guo Qiang Wang
Keyword(s):  
Object Detection ◽  
Video Surveillance ◽  
Color Space ◽  
Moving Object Detection ◽  
Moving Object ◽  
Shadow Detection ◽  
Behavioral Characteristics ◽  
Video Object ◽  
Intelligent Video Surveillance ◽  
Shadow Suppression

In the field of intelligent video surveillance and the multimedia applications we usually need to detect the moving object which is separated from the background. The results of the moving object detection would affect the subsequent identification, classification and tracking. Meanwhile shadow detection and suppression are also the important technology of the intelligent video surveillance. Because the moving object and shadow usually has the same behavioral characteristics, which has led to the errors of object recognition and tracking and affect the robustness of system seriously. This article studies the principle and algorithm of background subtraction, and has a detailed discussion and analysis. Shadow detection and suppression algorithms based on the YUV color space for processing. The experiment result shows that the algorithms for moving object detection with a better accuracy and stability of this paper.

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