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.
The research behind
Video stabilization pipeline overview:
- K. Karageorgos, A. Dimou, A. Axenopoulos, P. Daras, “Semantic Filtering for Video Stabilization”, 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Lecce, Italy, 29 Aug – 1 Sept, 2017