Visual Attention-Based Object Detection in Cluttered Environments

Eduardo Manuel Silva Machado, Ivan Carrillo, Miguel Collado, Liming Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The study of human visual attention is considered a hot topic in the field of activity recognition, experimental psychology research and human computer interaction. The importance of detecting user objects of interest in real time is critical to provide accurate cues about the user intentions.However, current methods for visual attention extraction and object detection suffer from low performance when moving to ongoing condition. Inherent complexity of cluttered environmentsis considered the major barrier to achieve good performances. To address this challenge, we present a novel method that includes head-worn eye tracker and egocentric video. Our method exploits sliding window-based time series approach in conjunction with aHeuristic probabilistic function to analyse user fixations around potential object of interest in an egocentric video. We evaluate the proposed method using a new dataset annotated with user gaze data and object within a frame image. Our experimental results show that our approach can outperforms several state-of-the-art commonality visual attention-based object detection methods.
Original languageEnglish
Title of host publication2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
Place of PublicationLeicester, United Kingdom
PublisherIEEE Xplore
Pages133-139
Number of pages6
ISBN (Electronic) 978-1-7281-4034-6
ISBN (Print)978-1-7281-4035-3
DOIs
Publication statusPublished - 19 Aug 2019
Event2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation - Leicester, United Kingdom
Duration: 19 Aug 201923 Aug 2019

Conference

Conference2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation
Period19/08/1923/08/19

Keywords

  • Object Detection
  • Visual Attention
  • Cluttered Environments
  • Fixations
  • Deep Learning

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  • Cite this

    Silva Machado, E. M., Carrillo, I., Collado, M., & Chen, L. (2019). Visual Attention-Based Object Detection in Cluttered Environments. In 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) (pp. 133-139). IEEE Xplore. https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00064