Application of Cloud Storage in Traffic Video Detection

2011 ◽  
Author(s):  
Ru Xue ◽  
Zong-Sheng Wu ◽  
A-Ning Bai
Keyword(s):  
Cloud Storage ◽  
Video Detection ◽  
Traffic Video

scholarly journals Occlusion Processing and Tracking Technology of Multiple Targets in Traffic Video Detection

2014 ◽  
Vol 7 (1) ◽  
pp. 326395
Author(s):  
Yingying Zhao ◽  
Sheng Jiang ◽  
Zhaowei Qu ◽  
Pengfei Tao
Keyword(s):  
Multiple Targets ◽  
Video Detection ◽  
Traffic Video ◽  
Tracking Technology

scholarly journals Ground Truth Generating Tool for Traffic Video Detector

2015 ◽  
Vol 20 (2) ◽  
pp. 17-27
Author(s):  
Szymon Bigaj ◽  
Andrzej Głowacz ◽  
Jacek Kościow ◽  
Zbigniew Mikrut ◽  
Piotr Pawlik
Keyword(s):  
Comparative Analysis ◽  
Road Traffic ◽  
Ground Truth ◽  
Detection Algorithm ◽  
Ground Truth Data ◽  
Video Detection ◽  
Detection Software ◽  
Traffic Video ◽  
Video Detector

Abstract The paper presents an application for generating ground truth data for the purposes of video detection and justifies its use in systems which analyze road traffic videos. The usefulness of described application in the development of video detection software is presented - especially during scene configuration and comparative analysis of video detection results versus ground truth data. The latter is possible due to simplicity of the result text files generated in a similar way both by the presented application and by the video detection algorithm. Two exemplary applications of the tool designed to generate ground truth data are presented, together with a discussion of their construction, functionality and abilities.

Privacy Preserving Public Auditing in Secured Cloud Storage

2012 ◽  
Vol 3 (3) ◽  
pp. 60-61
Author(s):  
V.Sajeev V.Sajeev ◽  
◽  
R.Gowthamani R.Gowthamani
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Public Auditing

PEMANFAATAN PRIVATE CLOUD STORAGE SEBAGAI MEDIA PENYIMPANAN DATA E-LEARNING PADA LEMBAGA PENDIDIKAN

2017 ◽  
Vol 10 (2) ◽  
Author(s):  
Irfan Santiko ◽  
Rahman Rosidi ◽  
Seta Agung Wibawa
Keyword(s):  
Cloud Storage ◽  
Private Cloud ◽  
E Learning

Data Integrity Techniques in Cloud Computing: An Analysis

2017 ◽  
Vol 7 (8) ◽  
pp. 121 ◽  
Author(s):  
Neha Thakur ◽  
Aman Kumar Sharma
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
Data Integrity ◽  
Advantages And Disadvantages ◽  
Security Models ◽  
Cloud Storage Service ◽  
Storage Service ◽  
Cloud Users ◽  
It Enterprises

Cloud computing has been envisioned as the definite and concerning solution to the rising storage costs of IT Enterprises. There are many cloud computing initiatives from IT giants such as Google, Amazon, Microsoft, IBM. Integrity monitoring is essential in cloud storage for the same reasons that data integrity is critical for any data centre. Data integrity is defined as the accuracy and consistency of stored data, in absence of any alteration to the data between two updates of a file or record.  In order to ensure the integrity and availability of data in Cloud and enforce the quality of cloud storage service, efficient methods that enable on-demand data correctness verification on behalf of cloud users have to be designed. To overcome data integrity problem, many techniques are proposed under different systems and security models. This paper will focus on some of the integrity proving techniques in detail along with their advantages and disadvantages.

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