UWB MIMO radar arrays for small area surveillance applications

2007 ◽  
Author(s):  
A. Martinez-Vazquez ◽  
J. Fortuny-Guasch
Keyword(s):  
Small Area ◽  
Mimo Radar ◽  
Area Surveillance ◽  
Surveillance Applications

Efficient Key Frame Selection Approach for Object Detection in Wide Area Surveillance Applications

2019 ◽  
pp. 609-623
Author(s):  
Almabrok Essa ◽  
Paheding Sidike ◽  
Vijayan K. Asari
Keyword(s):  
Object Detection ◽  
Wide Area ◽  
Surveillance Video ◽  
Performance Impact ◽  
Frame Selection ◽  
Key Frame ◽  
Key Frame Selection ◽  
Area Surveillance ◽  
Surveillance Applications ◽  
Wide Area Surveillance

This paper presents an efficient preprocessing algorithm for object detection in wide area surveillance video analysis. The proposed key-frame selection method utilizes the pixel intensity differences among subsequent frames to automatically select only the frames that contain the desired contextual information and discard the rest of the insignificant frames. For improving effectiveness and efficiency, a batch updating based on a modular representation strategy is also incorporated. Experimental results show that the proposed key frame selection technique has a significant positive performance impact on wide area surveillance applications such as automatic object detection and recognition in aerial imagery.

Efficient Key Frame Selection Approach for Object Detection in Wide Area Surveillance Applications

2015 ◽  
Vol 3 (2) ◽  
pp. 20-34
Author(s):  
Almabrok Essa ◽  
Paheding Sidike ◽  
Vijayan K. Asari
Keyword(s):  
Object Detection ◽  
Wide Area ◽  
Surveillance Video ◽  
Pixel Intensity ◽  
Frame Selection ◽  
Key Frame ◽  
Key Frame Selection ◽  
Area Surveillance ◽  
Surveillance Applications ◽  
Wide Area Surveillance

This paper presents an efficient preprocessing algorithm for object detection in wide area surveillance video analysis. The proposed key-frame selection method utilizes the pixel intensity differences among subsequent frames to automatically select only the frames that contain the desired contextual information and discard the rest of the insignificant frames. For improving effectiveness and efficiency, a batch updating based on a modular representation strategy is also incorporated. Experimental results show that the proposed key frame selection technique has a significant positive performance impact on wide area surveillance applications such as automatic object detection and recognition in aerial imagery.

scholarly journals Spatio-temporal small area surveillance of the COVID-19 pandemic

2021 ◽  
pp. 100551
Author(s):  
Miguel A. Martinez-Beneito ◽  
Jorge Mateu ◽  
Paloma Botella-Rocamora
Keyword(s):  
Small Area ◽  
Area Surveillance ◽  
Spatio Temporal

Rocking Beam Microarea Diffraction Applied to Metallic thin Films

1976 ◽  
Vol 34 ◽  
pp. 396-397
Author(s):  
R. H. Geiss
Keyword(s):  
Thin Films ◽  
Electron Diffraction ◽  
Small Area ◽  
Objective Lens ◽  
Electron Optics ◽  
Metallic Thin Films ◽  
Transmission Electron Diffraction ◽  
Transmission Electron ◽  
Sample Height ◽  
Scanning Transmission

The theory and practical limitations of micro area scanning transmission electron diffraction (MASTED) will be presented. It has been demonstrated that MASTED patterns of metallic thin films from areas as small as 30 Åin diameter may be obtained with the standard STEM unit available for the Philips 301 TEM. The key to the successful application of MASTED to very small area diffraction is the proper use of the electron optics of the STEM unit. First the objective lens current must be adjusted such that the image of the C2 aperture is quasi-stationary under the action of the rocking beam (obtained with 40-80-160 SEM settings of the P301). Second, the sample must be elevated to coincide with the C2 aperture image and its image also be quasi-stationary. This sample height adjustment must be entirely mechanical after the objective lens current has been fixed in the first step.

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