View Proposal

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Proposer

Radu-Casian Mihailescu

Title

Context-aware object detection in computer vision

Goal

Description

Surveillance cameras are typically placed in different contexts which are not known beforehand and that may change dynamically. For example, cameras should be able to cope with background variations such as light changes, weather and seasons in the specific scene, as well as to improve performance with time while it is adapting to the user's scene. Thus, in order to contribute optimally to realizing the system goals, they should be able to adapt to the context they are placed in and its current state. In this work we are going to look into various contextual data from the environment and design algorithms that can leverage this information in order to improve classification performance.

Resources

Background

ML/DL

Url

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

1

Supervisor

Radu-Casian Mihailescu

Keywords

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Bachelor of Science in Software Development for Business (GA)
Master of Engineering in Software Engineering
Master of Design in Games Design and Development
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Business Information Management
Master of Science in Computer Science for Cyber Security
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Information Technology (Business)
Master of Science in Information Technology (Software Systems)
Master of Science in Network Security
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science