MSCM-LiFe: Multi-scale cross modal linear feature for horizon detection in maritime images
This addresses horizon detection for maritime navigation and surveillance, but it is incremental as it builds on existing concepts like Hough transform and median filtering.
The paper tackles horizon detection in maritime images by proposing a multi-scale cross modal linear feature method that integrates persistence in multi-scale median filtering and detection via Hough transform and intensity gradient, achieving small error and outperforming three state-of-the-art methods on over 3000 frames from 13 videos.
This paper proposes a new method for horizon detection called the multi-scale cross modal linear feature. This method integrates three different concepts related to the presence of horizon in maritime images to increase the accuracy of horizon detection. Specifically it uses the persistence of horizon in multi-scale median filtering, and its detection as a linear feature commonly detected by two different methods, namely the Hough transform of edgemap and the intensity gradient. We demonstrate the performance of the method over 13 videos comprising of more than 3000 frames and show that the proposed method detects horizon with small error in most of the cases, outperforming three state-of-the-art methods.