Videos from handheld devices often contain abrupt and irregular camera motion, which is a limiting factor for both automated and manual video analysis. Video stabilization aims at removing these undesired motions and transforming the input sequence to a stable, visually plausible video. State of the art algorithms focus on stabilization strength, robustness, processing speed and latency, requirements which are often contradictory.
Regarding security, the stabilization module could act as a preprocessing step to every tracking or recognition algorithm.
Video Stabilization Ex. 01
Visual Computing Lab
The focus of the Visual Computing Laboratory is to develop new algorithms and architectures for applications in the areas of 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging.