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WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems

Related publications (41)

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Jamming transition as a paradigm to understand the loss landscape of deep neural networks

Matthieu Wyart, Mario Geiger, Marco Baity-Jesi, Stefano Spigler, Levent Dogus Sagun

Deep learning has been immensely successful at a variety of tasks, ranging from classification to artificial intelligence. Learning corresponds to fitting training data, which is implemented by descending a very high-dimensional loss function. Understandin ...

AMER PHYSICAL SOC2019

UAV-Based Situational Awareness System Using Deep Learning

Wenlong Deng

Situational awareness by Unmanned Aerial Vehicles (UAVs) is important for many applications such as surveillance, search and rescue, and disaster response. In those applications, detecting and locating people and recognizing their actions in near real-time ...

2019

Privacy in Mini-drone Based Video Surveillance

Touradj Ebrahimi, Margherita Bonetto

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 ...

2015

A new database of still and moving High Dynamic Range pictures

Touradj Ebrahimi, Martin Rerabek

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 ...

2014

Automated Bobbing and Phase Analysis to Measure Walking Entrainment

Jean-Marc Odobez, Rémi Emonet

In this paper, we investigate the influence of music on human walking behaviors in a public setting monitored by surveillance cameras. To this end, we propose a novel algorithm to characterize the frequency and phase of the walk. It relies on a human-by-de ...

2014

Using Warping for Privacy Protection in Video Surveillance

Touradj Ebrahimi

The widespread use of digital video surveillance systems has also increased the concerns for violation of privacy rights. Since video surveillance systems are invasive, it is a challenge to find an acceptable balance between privacy of the public under sur ...

2013

A framework for objective evaluation of privacy filters in video surveillance

Touradj Ebrahimi

Extensive adoption of video surveillance, affecting many aspects of our daily lives, alarms the public about the increasing invasion into personal privacy. To address these concerns, many tools have been proposed for protection of personal privacy in image ...

Spie-Int Soc Optical Engineering2013

Using Face Morphing to Protect Privacy

Touradj Ebrahimi

2013

Sequential Topic Models for Mining Recurrent Activities and their Relationships

Jagannadan Varadarajan

In this thesis, we address the analysis of activities from long term data logs with an emphasis on video recordings. Starting from simple words from video, we progressively build methods to infer higher level scene semantics. The main strategies used to ac ...

EPFL2012

Reducing Frame Rate for Object Tracking

Object tracking is commonly used in video surveillance, but typically video with full frame rate is sent. We previously have shown that full frame rate is not needed, but it is unclear what the appropriate frame rate to send or whether we can further reduc ...

2010