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Image Stabilization for Pan-Tilt-Zoom Cameras: An Implementation of Sensor-based, Image-based, and Hybrid Methods

Küchen, Leo LU and Norberg, David (2026) In Master’s Theses in Mathematical Sciences FMAM05 20261
Mathematics (Faculty of Engineering)
Abstract
Electronic Image Stabilization is a method to digitally stabilize a video feed to remove unwanted motion by transforming the image. The aim is to create a better viewing experience, reduce bitrate, and simplify further video analytics. This thesis explores different algorithms to stabilize Pan-Tilt-Zoom surveillance cameras made by Axis Communications. Many scenarios are investigated, but the cases when the camera is moving and during high zoom are especially emphasized, as they are the most demanding conditions for image stabilization.

Three alternative real-time stabilization methods are proposed and investigated: one sensor-based, one image-based, and a hybrid between the two. A dataset is recorded at a remote location to evaluate... (More)
Electronic Image Stabilization is a method to digitally stabilize a video feed to remove unwanted motion by transforming the image. The aim is to create a better viewing experience, reduce bitrate, and simplify further video analytics. This thesis explores different algorithms to stabilize Pan-Tilt-Zoom surveillance cameras made by Axis Communications. Many scenarios are investigated, but the cases when the camera is moving and during high zoom are especially emphasized, as they are the most demanding conditions for image stabilization.

Three alternative real-time stabilization methods are proposed and investigated: one sensor-based, one image-based, and a hybrid between the two. A dataset is recorded at a remote location to evaluate the stabilization algorithms. To compare performance, an evaluation method is developed using motor encoders. The results indicate that the hybrid algorithm works best in most cases except where large foreground objects are moving in the frame. In this case, the hybrid solution tends to shift the image to follow the foreground object, and the sensor-based solution works better with lower drift. During high shaking, the hybrid method performs better regardless. (Less)
Popular Abstract
Surveillance cameras are mounted everywhere, even on poles many meters up in the air. On windy days, these cameras shake a lot, making the video feed difficult to watch. In our thesis, we show how combining sensor data and image analysis can significantly reduce this problem.
Please use this url to cite or link to this publication:
author
Küchen, Leo LU and Norberg, David
supervisor
organization
course
FMAM05 20261
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Electronic Image Stabilization, EIS, Pan-Tilt-Zoom cameras, PTZ cameras, Sensor fusion, Video surveillance, Real-time image processing, Motion estimation, Video analytics, Camera shake
publication/series
Master’s Theses in Mathematical Sciences
report number
LUTFMA-3624-2024
ISSN
1404-6342
other publication id
2026:E42
language
English
id
9235536
date added to LUP
2026-06-12 11:08:06
date last changed
2026-06-12 11:08:06
@misc{9235536,
  abstract     = {{Electronic Image Stabilization is a method to digitally stabilize a video feed to remove unwanted motion by transforming the image. The aim is to create a better viewing experience, reduce bitrate, and simplify further video analytics. This thesis explores different algorithms to stabilize Pan-Tilt-Zoom surveillance cameras made by Axis Communications. Many scenarios are investigated, but the cases when the camera is moving and during high zoom are especially emphasized, as they are the most demanding conditions for image stabilization. 

Three alternative real-time stabilization methods are proposed and investigated: one sensor-based, one image-based, and a hybrid between the two. A dataset is recorded at a remote location to evaluate the stabilization algorithms. To compare performance, an evaluation method is developed using motor encoders. The results indicate that the hybrid algorithm works best in most cases except where large foreground objects are moving in the frame. In this case, the hybrid solution tends to shift the image to follow the foreground object, and the sensor-based solution works better with lower drift. During high shaking, the hybrid method performs better regardless.}},
  author       = {{Küchen, Leo and Norberg, David}},
  issn         = {{1404-6342}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Master’s Theses in Mathematical Sciences}},
  title        = {{Image Stabilization for Pan-Tilt-Zoom Cameras: An Implementation of Sensor-based, Image-based, and Hybrid Methods}},
  year         = {{2026}},
}