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Bio-inspired Boosting for Moving Objects Segmentation
[chapter]
2016
Lecture Notes in Computer Science
Developing robust and universal methods for unsupervised segmentation of moving objects in video sequences has proved to be a hard and challenging task. State-of-the-art methods show good performance in a wide range of situations, but systematically fail when facing more challenging scenarios. Lately, a number of image processing modules inspired in biological models of the human visual system have been explored in different areas of application. This paper proposes a bio-inspired boosting
doi:10.1007/978-3-319-41501-7_45
fatcat:5wjheb2m3bhtbg2qh2g5vlmhzu