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G. Rigoll

3 papers hereh-index 6217k citations638 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedA Deep Convolutional Neural Network for Background Subtraction

54 citations · 54 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2019

Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach

Neslihan Kose, Okan Kopuklu, Alexander Unnervik +1

Many road accidents occur due to distracted drivers. Today, driver monitoring is essential even for the latest autonomous vehicles to alert distracted drivers in order to take over…

cs.CV2019

On Flow Profile Image for Video Representation

Mohammadreza Babaee, David Full, Gerhard Rigoll

Video representation is a key challenge in many computer vision applications such as video classification, video captioning, and video surveillance. In this paper, we propose a nov…

cs.CV2017★ 54 cited

A Deep Convolutional Neural Network for Background Subtraction

Mohammadreza Babaee, Duc Tung Dinh, Gerhard Rigoll

In this work, we present a novel background subtraction system that uses a deep Convolutional Neural Network (CNN) to perform the segmentation. With this approach, feature engineer…

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