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Location privacy of aircraft has recently gained attention as air traffic management was modernized using novel surveillance technologies. Business aviation circles and various military and government entities voiced serious concerns about automated and ub ...
This paper makes the case for the inclusion of experimental creative practice within global HCI curricula. The interface between HCI and creative practice is often found in the discipline of user experience design where students are trained in the various ...
Video consumption over Internet has increased significantly over the recent years and occupies the majority of the overall data traffic. To decrease the load on the Internet infrastructure and reduce bandwidth taken by video, higher efficiency video codecs ...
Mini-drones are increasingly used in video surveillance. Their areal mobility and ability to carry video cameras provide new perspectives in visual surveillance which can impact privacy in ways that have not been considered in a typical surveillance scenar ...
The widespread usage of digital video surveillance systems has increased the concerns for privacy violation. Since video surveillance systems are invasive, it is a challenge to find an acceptable balance between privacy of the public under surveillance and ...
In this article, I discuss the process of designing an object to protest against a specific surveillance device: the IMSI catcher, a controversial object used to monitor GSM networks. Being widely used in protests, I develop a tactical approach based on ob ...
Emerging new imaging technologies, such as HDR (High Dynamic Range) or UHD (Ultra High Definition), have a significant impact in various applications. One of them, namely, visual privacy protection in video surveillance is an important and increasingly pop ...
An increase in adoption of video surveillance, affecting many aspects of daily lives, raises public concern about an intrusion into individual privacy. New sensing and surveillance technologies, such as mini-drones, threaten to eradicate boundaries of priv ...
Person retrieval largely relies on the appearance features of pedestrians. This task is rather more difficult in surveillance videos due to the limitations of extracting robust appearance features brought by the cross-view and cross-camera data with lower ...
We propose a deep-learning approach for people detection on depth imagery. The approach is designed to be deployed as an autonomous appliance for identifying people attacks and intrusion in video surveillance scenarios. To this end, we propose a fully-conv ...