A new method of video-surveillance data analytics for the security in camera networks

2017 ◽  
Author(s):  
Bassem Hadjkacem ◽  
Walid Ayedi ◽  
Mohamed Abid ◽  
Hichem Snoussi
Keyword(s):  
Video Surveillance ◽  
Data Analytics ◽  
Surveillance Data ◽  
New Method ◽  
Camera Networks

scholarly journals A New Method for Estimating the Coverage of Mass Vaccination Campaigns Against Poliomyelitis From Surveillance Data

2015 ◽  
Vol 182 (11) ◽  
pp. 961-970 ◽  
Author(s):  
K. M. O'Reilly ◽  
A. Cori ◽  
E. Durry ◽  
M. Z. Wadood ◽  
A. Bosan ◽  
...  
Keyword(s):  
Mass Vaccination ◽  
Surveillance Data ◽  
New Method ◽  
Vaccination Campaigns

Characteristics of the New Embrittlement Correlation Method for the Japanese Reactor Pressure Vessel Steels

2009 ◽  
Author(s):  
Naoki Soneda ◽  
Akiyoshi Nomoto
Keyword(s):  
Pressure Vessel ◽  
Correlation Method ◽  
Reactor Pressure Vessel ◽  
Surveillance Data ◽  
New Method ◽  
Rate Equations ◽  
Mathematical Form ◽  
Microstructural Changes ◽  
Pressure Vessel Steels ◽  
Reactor Pressure

Neutron irradiation embrittlement of reactor pressure vessel steels is an important ageing issue for the long term operation of light water reactors. A new embrittlement correlation method was developed by CRIEPI and the Japanese electric utilities in 2007. This method is primarily based on the fundamental understandings on the embrittlement mechanisms: i.e. microstructural changes were modeled by the mathematical form of rate equations, and the predicted microstructural changes were further correlated with the mechanical property changes in transition temperature region. The coefficients of the rate equations were optimized using the Japanese surveillance data of RPV embrittlement. This method was adopted as the revision of the Japanese code, JEAC 4201–2007, in 2007. In this paper, after a brief explanation on the new correlation method, the predictions of the new method will be investigated through comparisons with the previous correlation, JEAC4201–2004, and the US surveillance data in order to identify the characteristics of the new method.

scholarly journals Hierarchical video surveillance architecture: a chassis for video big data analytics and exploration

2015 ◽  
Author(s):  
Sola O. Ajiboye ◽  
Philip Birch ◽  
Christopher Chatwin ◽  
Rupert Young
Keyword(s):  
Big Data ◽  
Video Surveillance ◽  
Data Analytics ◽  
Big Data Analytics

New method for height estimation of subjects represented in photograms taken from video surveillance systems

2007 ◽  
Vol 121 (6) ◽  
pp. 489-492 ◽  
Author(s):  
Danilo De Angelis ◽  
Remo Sala ◽  
Angela Cantatore ◽  
Pasquale Poppa ◽  
Michele Dufour ◽  
...  
Keyword(s):  
Video Surveillance ◽  
New Method ◽  
Surveillance Systems ◽  
Height Estimation

scholarly journals A Dataset of Annotated Omnidirectional Videos for Distancing Applications

2021 ◽  
Vol 7 (8) ◽  
pp. 158
Author(s):  
Giuseppe Mazzola ◽  
Liliana Lo Lo Presti ◽  
Edoardo Ardizzone ◽  
Marco La La Cascia
Keyword(s):  
Video Surveillance ◽  
Estimation Error ◽  
Distance Estimation ◽  
Estimation Algorithm ◽  
Research Community ◽  
New Method ◽  
Acquisition Process ◽  
Empirical Results ◽  
Bounding Boxes ◽  
Surveillance Applications

Omnidirectional (or 360°) cameras are acquisition devices that, in the next few years, could have a big impact on video surveillance applications, research, and industry, as they can record a spherical view of a whole environment from every perspective. This paper presents two new contributions to the research community: the CVIP360 dataset, an annotated dataset of 360° videos for distancing applications, and a new method to estimate the distances of objects in a scene from a single 360° image. The CVIP360 dataset includes 16 videos acquired outdoors and indoors, annotated by adding information about the pedestrians in the scene (bounding boxes) and the distances to the camera of some points in the 3D world by using markers at fixed and known intervals. The proposed distance estimation algorithm is based on geometry facts regarding the acquisition process of the omnidirectional device, and is uncalibrated in practice: the only required parameter is the camera height. The proposed algorithm was tested on the CVIP360 dataset, and empirical results demonstrate that the estimation error is negligible for distancing applications.

scholarly journals DRONE VIDEO CAPTURE – A NEW METHOD IN PRECISION AGRICULTURE

2019 ◽  
Vol 3 (2) ◽  
pp. 32-38
Author(s):  
Radko Petrov Mihajlow ◽  
Albena Ivanova
Keyword(s):  
Regression Model ◽  
Video Surveillance ◽  
Precision Agriculture ◽  
Weather Conditions ◽  
New Method ◽  
Video Capture ◽  
Wheat Field ◽  
Image Recording ◽  
The One

In June 2019, a drone image recording was performed equipped with an RGB camera on an experimental wheat field at an interval of seven days three times a day. Within one day (12.06.2019) information was collected about the weather conditions and eight measurements were made every hour. The commonly accepted indices were calculated: VARIgreen and ExG for the one-month and one-day observations of the received RGB digitized information. A regression model was created for a full factor experiment of type 23. The interaction of the factors that characterize the conditions of the video was evaluated. Conclusions were formulated as to the influence of the factors under which the observations were made. A recommendation was made with regard to which part of the day it is most appropriate to take photos and video surveillance of wheat.

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