A Dataset of Annotated Omnidirectional Videos for Distancing 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.

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An Average One-hop Distance Estimation Algorithm Based on Weighted Disposal in Wireless Sensor Network

JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY ◽

10.3724/sp.j.1146.2007.00735 ◽

2011 ◽

Vol 30 (5) ◽

pp. 1222-1225 ◽

Cited By ~ 8

Author(s):

Feng Liu ◽

Han Zhang ◽

Ji Yang

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Distance Estimation ◽

Estimation Algorithm ◽

Wireless Sensor

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Foreground Segmentation in Depth Imagery Using Depth and Spatial Dynamic Models for Video Surveillance Applications

Sensors ◽

10.3390/s140201961 ◽

2014 ◽

Vol 14 (2) ◽

pp. 1961-1987 ◽

Cited By ~ 12

Author(s):

Carlos del-Blanco ◽

Tomás Mantecón ◽

Massimo Camplani ◽

Fernando Jaureguizar ◽

Luis Salgado ◽

...

Keyword(s):

Video Surveillance ◽

Dynamic Models ◽

Foreground Segmentation ◽

Spatial Dynamic ◽

Surveillance Applications

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New options in video surveillance applications using multiple views of a scene

Proceedings IEEE 32nd Annual 1998 International Carnahan Conference on Security Technology (Cat. No.98CH36209) ◽

10.1109/ccst.1998.723793 ◽

2002 ◽

Cited By ~ 3

Author(s):

M. Meyer ◽

M. Hotter ◽

T. Ohmacht

Keyword(s):

Video Surveillance ◽

Multiple Views ◽

Surveillance Applications

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Complete power distribution system representation and state determination for fault location

DYNA ◽

10.15446/dyna.v82n192.48589 ◽

2015 ◽

Vol 82 (192) ◽

pp. 141-149 ◽

Cited By ~ 1

Author(s):

Andres Felipe Panesso-Hernández ◽

Juan Mora-Flórez ◽

Sandra Pérez-Londoño

Keyword(s):

Power Distribution ◽

Distribution System ◽

Distribution Systems ◽

Fault Location ◽

Estimation Error ◽

Distance Estimation ◽

Power Distribution Systems ◽

Line Load ◽

Power Distribution System ◽

Line Section

<p>The impedance-based approaches for fault location in power distribution systems determine a faulted line section. Next, these require of the estimation of the voltages and currents at one or both section line ends to exactly determine the fault location. It is a challenge because in most of the power distribution systems, measurements are only available at the main substation. This document presents a modeling proposal of the power distribution system and an easy implementation method to estimate the voltages and currents at the faulted line section, using the measurements at the main substation, the line, load, transformer parameters and other serial and shunt connected devices and the power system topology. The approach here proposed is tested using a fault locator based on superimposed components, where the distance estimation error is lower than 1.5% in all of the cases. </p>

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

2017 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC) ◽

10.1109/iintec.2017.8325928 ◽

2017 ◽

Cited By ~ 1

Author(s):

Bassem Hadjkacem ◽

Walid Ayedi ◽

Mohamed Abid ◽

Hichem Snoussi

Keyword(s):

Video Surveillance ◽

Data Analytics ◽

Surveillance Data ◽

New Method ◽

Camera Networks

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A New Approach for Resolving Conflicts in Actionable Behavioral Rules

The Scientific World JOURNAL ◽

10.1155/2014/530483 ◽

2014 ◽

Vol 2014 ◽

pp. 1-9 ◽

Cited By ~ 5

Author(s):

Peng Su ◽

Dan Zhu ◽

Daniel Zeng

Keyword(s):

Prediction Accuracy ◽

New Method ◽

Best Interest ◽

New Approach ◽

Actionable Knowledge ◽

Empirical Results ◽

Ranking Procedure ◽

Valid Method ◽

Weight Parameter ◽

Behavioral Rules

Knowledge is considered actionable if users can take direct actions based on such knowledge to their advantage. Among the most important and distinctive actionable knowledge are actionable behavioral rules that can directly and explicitly suggest specific actions to take to influence (restrain or encourage) the behavior in the users’ best interest. However, in mining such rules, it often occurs that different rules may suggest the same actions with different expected utilities, which we call conflicting rules. To resolve the conflicts, a previous valid method was proposed. However, inconsistency of the measure for rule evaluating may hinder its performance. To overcome this problem, we develop a new method that utilizes rule ranking procedure as the basis for selecting the rule with the highest utility prediction accuracy. More specifically, we propose an integrative measure, which combines the measures of the support and antecedent length, to evaluate the utility prediction accuracies of conflicting rules. We also introduce a tunable weight parameter to allow the flexibility of integration. We conduct several experiments to test our proposed approach and evaluate the sensitivity of the weight parameter. Empirical results indicate that our approach outperforms those from previous research.

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