Jun 21, 2015 · This paper proposes a statistical background modeling framework to deal with the issue of target detection, where the global and local ...
This paper proposes a statistical background modeling framework to deal with the issue of target detection, where the global and local information is ...
This paper presents a statistical treatment of background modeling for use in target detection, where the global information and local information is added ...
This paper presents a statistical treatment of background modeling for use in target detection, where the global information and local information is added ...
This study proposes a real-time moving target detection algorithm for UAV platforms based on traditional frame difference algorithm.
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Mixture of Gaussians is a widely used approach for background modeling to detect moving objects from static cameras. Numerous improvements of the original ...
Abstract. Video-based detection of moving and foreground objects is a key computer vision task. Temporal differencing of video frames.
This paper introduces a statistical background pixel classifier intended for real-time and low-resource implementation.
This paper addresses the problem of background modeling for foreground object detection in complex environments.
Abstract. A new method of target detection based on region segmentation was proposed for the problem of reciprocating pumps and other disturbances for ...