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Concept

Video content analysis

Related publications (19)

Automated Human Motion Analysis and Synthesis

Sena Kiciroglu

Human motion analysis and synthesis is integral to many computer vision applications, from autonomous driving to sports analysis. In this thesis, we address several problems in this domain. First we consider active viewpoint selection for pose estimation w ...

EPFL2023

Inverse Reinforcement Learning of Pedestrian-Robot Coordination

Aude Billard, David Julian Gonon

We apply inverse reinforcement learning (IRL) with a novel cost feature to the problem of robot navigation in human crowds. Consistent with prior empirical work on pedestrian behavior, the feature anticipates collisions between agents. We efficiently learn ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Encoder-Decoder Models for Human Segmentation and Motion Analysis

Isinsu Katircioglu

Detecting people from 2D images and analyzing their motion in 3D have been long standing computer vision problems central to numerous applications such as autonomous driving and athletic training. Recently, with the availability of large amounts of trainin ...

EPFL2022

Gem5-X : A Many-Core Heterogeneous Simulation Platform for Architectural Exploration and Optimization

David Atienza Alonso, Marina Zapater Sancho, William Andrew Simon, Yasir Mahmood Qureshi

The increasing adoption of smart systems in our daily life has led to the development of new applications with varying performance and energy constraints, and suitable computing architectures need to be developed for these new applications. In this paper, ...

2021

How Asynchronous Events Encode Video

Martin Vetterli, Adam James Scholefield, Karen Adam

As event-based sensing gains in popularity, theoretical understanding is needed to harness this technology’s potential. Instead of recording video by capturing frames, event-based cameras have sensors that emit events when their inputs change, thus encodin ...

IEEE2021

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

Real-time high-resolution omnidirectional imaging platform for drone detection and tracking

Jean-Philippe Thiran, Yusuf Leblebici, Vladan Popovic, Selman Ergünay, Bilal Demir

Drones have become steadily affordable, which raises privacy and security concerns as well as interest in drone detection systems. On the other hand, drone detection is a challenging task due to small dimensions of drones, difficulty of long-distance detec ...

SPRINGER HEIDELBERG2020

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

Jean-Marc Odobez, Olivier Canévet, Michael Villamizar

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 ...

IEEE2018

Clock-Gating of Streaming Applications for Energy Efficient Implementations on FPGAs

Marco Mattavelli, Simone Casale Brunet, Endri Bezati

This paper investigates the reduction of dynamic power for streaming applications yielded by asynchronous dataflow designs by using clock gating techniques. Streaming applications constitute a very broad class of computing algorithms in areas such as signa ...

2016

Measuring the accuracy of softball impact simulations

Pascal Fua

A study has been conducted to review viscoelastic and foam-constitutive models to describe sport ball response to impact with a rigid cylindrical surface. The impact model was developed to simulate a ball-bat collision. Comparisons were made to actual impa ...

Springer London Ltd2016

Towards optimal distortion-based visual privacy filters

Touradj Ebrahimi

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 ...

2014

Coarse Grain Clock Gating Of Streaming Applications In Programmable Logic Implementations

Marco Mattavelli, Simone Casale Brunet, Endri Bezati

Streaming applications describe a broad class of computing algorithms in areas such as signal processing, media coding and compression, cryptography, video analytics, network touting and packet processing and many others. For many of these applications, pr ...

Ieee2014

Using Face Morphing to Protect Privacy

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

Using Warping for Privacy Protection in Video Surveillance

Touradj Ebrahimi

2013

Automatic Front-Crawl Temporal Phase Detection Using Adaptive Filtering of Inertial Signals

Kamiar Aminian, Farzin Dadashi, Grégoire Millet, Florent Crettenand

This study introduces a novel approach for automatic temporal phase detection and inter-arm coordination estimation in front-crawl swimming using inertial measurement units (IMUs). We examined the validity of our method by comparison against a video-based ...

Taylor & Francis2013

Event-Driven Video Coding for Outdoor Wireless Monitoring Cameras

Martin Vetterli, Guillermo Barrenetxea Kobas, Zichong Chen

Reducing communication cost is crucial for outdoor wireless monitoring cameras which are constrained by limited energy budgets. From event detection point of view, traditional video coding schemes such as H.264 are inefficient as they ignore the "meaning" ...

2012

Sequential Topic Models for Mining Recurrent Activities and their Relationships : Application to long term video recordings

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

Robust, High-Speed Interest Point Matching for Real-Time Applications

Michael Calonder

A typical Computer Vision system needs to process vast amounts of data as captured by one or more cameras, constantly testing the capabilities of today's hardware. Yet such systems face an ever-growing computational load caused by the more and more demandi ...

EPFL2010

LDAHash: Improved Matching with Smaller Descriptors

Pascal Fua, Christoph Strecha

SIFT-like local feature descriptors are ubiquitously employed in computer vision applications such as content-based retrieval, video analysis, copy detection, object recognition, photo tourism, and 3D reconstruction. Feature descriptors can be designed to ...

Institute of Electrical and Electronics Engineers2012