Video stabilization: digital and mechanical approaches

Bayrak, Serhat
General video stabilization techniques which are digital, mechanical and optical are discussed. Under the concept of video stabilization, various digital motion estimation and motion correction algorithms are implemented. For motion estimation, in addition to digital approach, a mechanical approach is implemented also. Then all implemented motion estimation and motion correction algorithms are compared with respect to their computational times and accuracies over various videos. For small amount of jitter, digital motion estimation performs well in real time. But for big amount of motion, digital motion estimation takes very long time so for these cases mechanical motion estimation is preferred due to its speed in estimation although digital motion estimation performs better. Thus, when mechanical motion estimation is used first and then this estimate is used as the initial estimate for digital motion estimation, the same accuracy as digital estimation is obtained in approximately the same time as mechanical estimation. For motion correction Kalman and Fuzzy filtering perform better than lowpass and moving average filtering.


3d reconstruction of underwater scenes from uncalibrated video sequences
Kırlı, Mustafa Yavuz; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2008)
The aim of this thesis is to reconstruct 3D representation of underwater scenes from uncalibrated video sequences. Underwater visualization is important for underwater Remotely Operated Vehicles and underwater is a complex structured environment because of inhomogeneous light absorption and light scattering by the environment. These factors make 3D reconstruction in underwater more challenging. The reconstruction consists of the following stages: Image enhancement, feature detection and matching, fundamenta...
Efficient calibration of a multi-camera measurement system using a target with known dynamics
Aykın, Murat Deniz; Saranlı, Afşar; Department of Electrical and Electronics Engineering (2008)
Multi camera measurement systems are widely used to extract information about the 3D configuration or “state” of one or more real world objects. Camera calibration is the process of pre-determining all the remaining optical and geometric parameters of the measurement system which are either static or slowly varying. For a single camera, this consist of the internal parameters of the camera device optics and construction while for a multiple camera system, it also includes the geometric positioning of the in...
Frequency invariant beamforming and its application to wideband direction of arrival estimation
Babataş, Eren; Candan, Çağatay; Department of Electrical and Electronics Engineering (2008)
In this thesis the direction of arrival estimation of wideband signals using frequency invariant beamforming method is examined. The difficulty with the direction of arrival estimation of wideband signals is that it is not possible to obtain a single covariance matrix valid for the whole frequency spectrum of the signal. There are various methods proposed in the literature to overcome this difficulty. The common aim of all the methods is to obtain a composite covariance matrix for the overall band of the si...
FPGA implementation of real time digital video stabilization
Özsaraç, İsmail; Ulusoy, İsmail; Department of Electrical and Electronics Engineering (2011)
Video stabilization methods are classified as mechanical and digital. Mechanical methods are based on motion sensors. Digital methods are computer programs and classified into two as time domain and frequency domain based on the signal processing methods used for the motion analysis. Although, mechanical methods have good real time stabilization performance, they are not suitable for small platforms such as mobile robots. On the other hand, digital video stabilization methods are easy to implement on variou...
Traffic sign recognition for unmanned vehicle control
Havur, Mehmet Bülent; Bulut, Mehmet Mete; Department of Electrical and Electronics Engineering (2006)
In this thesis, video frames acquired by a camera in a moving car are processed for detection of candidates of triangular, rectangular and circular traffic/road signs based on mainly shape information by performing contour analysis. Color information is utilized as an auxiliary method to improve detection. Then recognition based on template matching is realized on detected traffic/road sign candidates. Detection and recognition results of traffic/road signs in video frames taken in different time intervals ...
Citation Formats
S. Bayrak, “Video stabilization: digital and mechanical approaches,” M.S. - Master of Science, Middle East Technical University, 2008.