A moving object detection method based on level set in dynamic scenes

2012 ◽  
Author(s):  
Yue Zhao ◽  
Bin Wang ◽  
Xin Xu ◽  
Yanfeng Liu
Keyword(s):  
Object Detection ◽  
Level Set ◽  
Detection Method ◽  
Moving Object Detection ◽  
Moving Object ◽  
Dynamic Scenes

scholarly journals Dense Optical flow based Moving Object Detection at Dynamic Scenes

2016 ◽  
Vol 11 (5) ◽  
pp. 277-285
Author(s):  
Hyojin Lim ◽  
Yeongyu Choi ◽  
Cuong Nguyen Khac ◽  
Ho-Youl Jung
Keyword(s):  
Object Detection ◽  
Optical Flow ◽  
Moving Object Detection ◽  
Moving Object ◽  
Dynamic Scenes ◽  
Dense Optical Flow

Comparative Study of Statistical background Modeling and Subtraction

2017 ◽  
Vol 8 (2) ◽  
pp. 287
Author(s):  
Mourad Moussa ◽  
Maha Hmila ◽  
Ali Douik
Keyword(s):  
Object Detection ◽  
Background Subtraction ◽  
Moving Objects ◽  
Computational Cost ◽  
Gaussian Mixture ◽  
Traffic Monitoring ◽  
Human Motion ◽  
Moving Object Detection ◽  
Moving Object ◽  
Dynamic Scenes

Background subtraction methods are widely exploited for moving object detection in videos in many computer vision applications, such as traffic monitoring, human motion capture and video surveillance. The two most distinguishing and challenging aspects of such approaches in this application field are how to build correctly and efficiently the background model and how to prevent the false detection between; (1) moving background pixels and moving objects, (2) shadows pixel and moving objects. In this paper we present a new method for image segmentation using background subtraction. We propose an effective scheme for modelling and updating a background adaptively in dynamic scenes focus on statistical learning. We also introduce a method to detect sudden illumination changes and segment moving objects during these changes. Unlike the traditional color levels provided by RGB sensor aren’t the best choice, for this reason we propose a recursive algorithm that contributes to select very significant color space. Experimental results show significant improvements in moving object detection in dynamic scenes such as waving tree leaves and sudden illumination change, and it has a much lower computational cost compared to Gaussian mixture model.

Background–foreground interaction for moving object detection in dynamic scenes

2019 ◽  
Vol 483 ◽  
pp. 65-81 ◽  
Author(s):  
Zhe Chen ◽  
Ruili Wang ◽  
Zhen Zhang ◽  
Huibin Wang ◽  
Lizhong Xu
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Dynamic Scenes
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