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Event-based Visual Understanding in Complex Environment

   Cardiff School of Computer Science & Informatics

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  Dr J Wu, Dr Z Ji  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Events record dynamic changes in environments. They are sparse, but an important information source that draw our attention and make us aware of the dynamic surroundings. Event cameras, inspired by our retina’s perception of changes, are invented to capture such intensity changes in the world asynchronously. Compared to the conventional frame-based cameras, event cameras have advantages in high temporal resolution and low latency (in microseconds), low power, and high dynamic ranges, making them potentially applicable in challenging scenarios for conventional cameras. There has been growing interest and emerging research in event-based visual processing. However, how to effectively integrate the event information for computer vision and robot tasks is still an open question.

This project will explore the use of event cameras to improve visual understanding in complex environments. Complex environments, such as bars, forests, etc., often have changing lighting conditions, moving objects, and severe occlusions, all of which pose challenges to get complete information about the world. The high dynamic nature of these environments requires efficient and effective handling of changes, where events captured by event cameras can provide useful guidance. Our hypotheses include event-informed attention field to eliminate visual clutters for more efficient visual understanding, and the continuity in events to provide effective data association for object detection and tracking.

The student will have access to a newly purchased DAVIS event camera, and will look into 1) the processing and representation of events; 2) data association between the event space and the camera frame space; and 3) the integration of associated event information into visual understanding tasks such as object detection and tracking.

Keywords: visual understanding, event camera

Academic criteria: A 2:1 Honours undergraduate degree or a master's degree, in computing or a related subject.  Applicants with appropriate professional experience are also considered. Degree-level mathematics (or equivalent) is required for research in some project areas.

Applicants for whom English is not their first language must demonstrate proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component.

How to apply:

Please contact the supervisors of the project prior to submitting your application to discuss and develop an individual research proposal that builds on the information provided in this advert. Once you have developed the proposal with support from the supervisors, please submit your application following the instructions provided below

Please submit your application before the application deadline 29th April 2022 via Computer Science and Informatics - Study - Cardiff University

In order to be considered candidates must submit the following information: 

  • Supporting statement 
  • CV 
  • In the ‘Research Proposal’ section of the application enter the name of the project you are applying to and upload your Individual research proposal, as mentioned above in BOLD
  • In the funding field of your application, insert “I am applying for 2022 PhD Scholarship in Computer Science and Informatics”, and specify the project title and supervisors of this project in the text box provided.
  • Qualification certificates and Transcripts
  • References x 2 
  • Proof of English language (if applicable)

Interview - If the application meets the entrance requirements, you will be invited to an interview

If you have any questions or need more information, please contact [Email Address Removed]

Funding Notes

A School-Funded PhD Scholarship is available for entry 2022/23.
In the Funding field of your application, insert "I am applying for 2022 PhD Scholarship" and specify the project title and supervisor of this project in the fields provided.
This project is also open to Self-Funded students worldwide. If you are interested in applying for a Self-Funded PhD, please search FindAPhD for this specific project title, supervisor or School within its Scholarships category.

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