Exploration of motion inhibition for the suppression of false positives in biologically inspired small target detection algorithms from a moving platform.

ABSTRACT: Detecting small moving targets against a cluttered background in visual data is a challenging task. The main problems include spatio-temporal target contrast enhancement, background suppression and accurate target segmentation. When targets are at great distances from a non-stationary camera, the difficulty of these challenges increases. In such cases the moving camera can introduce large spatial changes between frames which may cause issues in temporal algorithms; furthermore targets can approach a single pixel, thereby affecting spatial methods. Previous literature has shown that biologically inspired methods, based on the vision systems of insects, are robust to such conditions. It has also been shown that the use of divisive optic-flow inhibition with these methods enhances the detecta

SUBMITTER: Melville-Smith A 

PROVIDER: S-EPMC9691501 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature