3D Multi-Object Online Tracking with Multi-View Clustering

Author(s):  
Guanglie Jia ◽  
Jianjiang Feng ◽  
Jie Zhou
Keyword(s):  
2020 ◽  
Author(s):  
Sabrina F. Loureiro ◽  
Kim M. Pulvers ◽  
Melissa M. Gosdin ◽  
Keavagh R. Clift ◽  
Myra J. Rice ◽  
...  

BACKGROUND College campuses in the United States have begun implementing Smoke and Tobacco-Free policies to discourage the use of tobacco. Smoke and Tobacco-Free policies, however, are contingent upon effective policy enforcement. OBJECTIVE To develop an empirically-derived online tracking tool (Tracker) for crowdsourcing campus environmental reports of tobacco use and waste to support smoke and tobacco-free college policies. METHODS An exploratory sequential mixed methods approach was utilized to inform the development and evaluation of the Tracker. In October 2018, three focus groups across two California universities were conducted and themes were analyzed, guiding Tracker development. After one year of implementation, users were asked in April 2020 to complete a survey about their experience. RESULTS In the focus groups, two major themes emerged: barriers and facilitators to tool utilization. Further Tracker development was guided by focus group input to address these barriers (e.g. information, policing, and logistical concerns) and facilitators (e.g. environmental motivators, positive reinforcement). Amongst 1,163 Tracker reports, those who completed the user survey (n=316) reported the top motivations to using the tool were having a cleaner environment (79%) and health concerns (69%). CONCLUSIONS Environmental concerns, a motivator which emerged in focus groups, shaped the Tracker’s development and was cited by the majority of users surveyed as a top motivator for utilization.


2014 ◽  
Vol 8 ◽  
Author(s):  
Christoph Reichert ◽  
Robert Fendrich ◽  
Johannes Bernarding ◽  
Claus Tempelmann ◽  
Hermann Hinrichs ◽  
...  

2020 ◽  
Vol 36 (69) ◽  
pp. 029-051
Author(s):  
Signe Sophus Lai ◽  
Sofie Flensburg

It has long been acknowledged that the use of ‘free’ mobile apps comes at a price,but few empirical studies have looked into this supposed trade-off. This articlecombines qualitative interviews with mappings of infrastructures for dataficationin order to study the implications of mobile app usage from the perspectiveof individual users. It analyses users’ understanding of online tracking, maps theinfrastructural tenets of mobile datafication, and finds a disconnect between whatusers believe happens to their data and the actual data harvesting and distributionmechanisms of their apps. We thereby argue that users’ resigned attitudes shouldbe understood in light of the material conditions of the app economy and, as such,that user and infrastructure studies should join forces in exploring and enhancingusers’ agency, empowerment and emancipation.


Author(s):  
Gunnar Liestoel

<p class="0abstract"><span lang="EN-GB">How may we best utilize mobile augmented reality for storytelling when reconstructing historical events onlocation? In this article we present a series of narrative design considerations when developing an augmented reality application recreating the assault on Omaha Beach in the early morning on D-Day. To what extent may we select existing genre conventions from, for example, documentary film, and adapt them to a location–based audio–visual medium like AR? How can we best combine sequence and access, the narrative flow of an unfolding historical event with the availability of background information, in order to enrich the experience of the story, but without distorting its coherence? To what extent may we draw from existing and well known media representations of the Omaha Beach landing? How was the battle documented with contemporary means? We present the rich documentation of photos, films, drawings, paintings, maps, action reports, official reports, etc., and discuss how these have been employed to create the published AR situated simulation. We also describe and discuss the testing and evaluation of the application on location with visitors, as well as online tracking of its current use.</span></p>


2020 ◽  
Vol 22 (11) ◽  
pp. 1996-2017
Author(s):  
Nadine Bol ◽  
Joanna Strycharz ◽  
Natali Helberger ◽  
Bob van de Velde ◽  
Claes H de Vreese

While data-driven personalization strategies are permeating all areas of online communication, the impact for individuals and society as a whole is still not fully understood. Drawing on Facebook as a case study, we combine online tracking and self-reported survey data to assess who gets targeted with what content. We tested relationships between user characteristics (i.e. socio-demographic and individual perceptions) and exposure to branded content on Facebook. Findings suggest that social media use sophisticated algorithms to target specific groups of users, especially in the context of gender-stereotyping and health. Health-related content was predominantly targeted at older users, females, and at those with higher levels of trust in online companies, as well as those in poorer health conditions. This study provides a first indication of unfair targeting that reinforces stereotypes and creates inequalities, and suggests rethinking the impact of algorithmic targeting in creating new forms of individual and societal vulnerabilities.


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