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How Asynchronous Events Encode Video

Publications associées (38)

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Focus Is All You Need: Loss Functions For Event-based Vision

Davide Scaramuzza

Event cameras are novel vision sensors that output pixel-level brightness changes (“events”) instead of traditional video frames. These asynchronous sensors offer several advantages over traditional cameras, such as, high temporal resolution, very high dyn ...

2019

On the inference speed and video-compression robustness of DeepLabCut

Alexander Mathis

Pose estimation is crucial for many applications in neuroscience, biomechanics, genetics and beyond. We recently presented a highly efficient method for markerless pose estimation based on transfer learning with deep neural networks called DeepLabCut. Curr ...

Animal Behavior and Cognition2018

EMVS: Event-based Multi-View Stereo

Davide Scaramuzza

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. They offer significant advantages over standard cameras, namely a very high dynamic range, no motion blur, and a latency in the o ...

2016

Shaping learners’ attention in Massive Open Online Courses

Pierre Dillenbourg, Patrick Jermann, Kshitij Sharma, Himanshu Verma, Daniela Caballero Díaz

We present an eye-tracking study in the context of Massive Open Online Course (MOOC) videos. We propose to use a pre-test as a way of priming students about the video content before they watch the video. In this study, we used two versions of the same pre- ...

2016

Event-based vision sensors, such as the Dynamic Vision Sensor (DVS), do not output a sequence of video frames like standard cameras, but a stream of asynchronous events. An event is triggered when a pixel detects a change of brightness in the scene. An eve ...

2015

Smart Imaging and On-Focal-Plane Image Acquisition and Processing in Standard CMOS Technology

Nikola Katic

In recent years, modern imaging sensors and systems have become increasingly complex following the growing demand for high-quality and high-resolution imaging. Commercially available sensors having 30-40 mega-pixel resolutions are common nowadays, while pr ...

EPFL2014

Audio-Visual People Diarization (AVPD) is an original framework that simultaneously improves audio, video, and audiovisual diarization results. Following a literature review of people diarization for both audio and video content and their limitations, whic ...

2014

Low-latency localization by Active LED Markers tracking using a Dynamic Vision Sensor

Davide Scaramuzza

At the current state of the art, the agility of an autonomous flying robot is limited by its sensing pipeline, because the relatively high latency and low sampling frequency limit the aggressiveness of the control strategies that can be implemented. To obt ...

2013

Column-Separated Compressive Sampling Scheme for Low Power CMOS Image Sensors

Pierre Vandergheynst, Alexandre Schmid, Mustafa Kilic, Yusuf Leblebici, Mahdad Hosseini Kamal, Nikola Katic

A novel compressive sampling scheme suitable for highly scalable hardware implementations is presented. The scheme utilizes an identical pseudo-random sequence for every image column, therefore reducing in-pixel hardware complexity and allowing measurement ...

IEEE2013

Share Risk and Energy: Sampling and Communication Strategies for Multi-Camera Wireless Monitoring Networks

Martin Vetterli, Guillermo Barrenetxea Kobas, Zichong Chen

In the context of environmental monitoring, outdoor wireless cameras are vulnerable to natural hazards. To benefit from the inexpensive imaging sensors, we introduce a multi-camera monitoring system to share the physical risk. With multiple cameras focusin ...

Ieee2012