Master Thesis: Machine Learned Multiple Object Tracking Algorithm for Video Surveillance

Master Thesis: Machine Learned Multiple Object Tracking Algorithm for Video Surveillance

Job Description

Category

Machine Learning, Computer Science

Scope

Master Thesis, 2 students completing 30 credits each
 

Background

A promising research direction of Multiple Object Tracking (MOT) is that of Machine Learning trained trackers.

These methods can contain elements and sub-algorithms within object detection, re-identification, association, transformers and more so it is a very rich and active research field for students to learn and explore and also to gain hands-on machine learning experience.
Some methods are end-to-end from pixel inputs, some are based on object detection boxes, but the common focus in this thesis is that they are trained rather than manually constructed heuristics.

Goal

Answer some or all of the questions:

• How do trainable trackers perform compared to traditional tracking-by-detection trackers?
• How do they perform in the video surveillance domain? How well do they generalize, how much data do they need?

OK, I am interested! What do I do now?
You are valuable to us – how nice that you are interested in one of our proposals! There are a few things for you to keep in mind when applying.

• Applications are accepted in both Swedish and English, and you apply via the proposal advert.
• The announced thesis is open only to students affiliated with a Swedish University/College either directly or via an exchange program.
• When the thesis proposal states that it includes two students working together, we would like you to apply in pairs. In these cases, send one application each but make sure to clearly state in your application who your co-applicant is. If you have any questions regarding this, please do not hesitate to contact us.
• Please attach your CV and University/College grade summary.

Who to contact for any questions regarding the position!

Mikael Pendse, mikael.pendse@axis.com, +46708738845

Type of Employment

Thesis Worker (Fixed Term)

Posting End Date

2026-02-20

Certain roles at Axis require background checks, which means applicable verifications will be done in these recruitments. Notice will be provided before we take any action.

About Axis Communications

We enable a smarter, safer world by creating innovative solutions for improving security and business performance. As a network technology company and industry leader, we offer solutions in video surveillance, access control, intercom, and audio systems, enhanced by intelligent analytics applications.

With around 5000 committed employees in over 50 countries, we collaborate with partners worldwide. Together, we thrive in our friendly, open, and collaborative culture and inspire each other to think beyond the expected. United by our commitment to inclusion, diversity, and sustainability, we consistently seek to develop our skills and way of working.

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