Are object detection assessment criteria ready for maritime computer vision?

TL;DR

This paper examines the suitability of existing object detection assessment metrics for maritime environments and proposes new bottom edge proximity metrics tailored to maritime computer vision challenges.

Contribution

It introduces novel bottom edge proximity metrics specifically designed for maritime object detection assessment, addressing the limitations of conventional metrics in maritime settings.

Findings

Existing metrics are inadequate for maritime conditions

Proposed metrics better capture maritime detection quality

Maritime computer vision approaches show promise with new metrics

Abstract

Maritime vessels equipped with visible and infrared cameras can complement other conventional sensors for object detection. However, application of computer vision techniques in maritime domain received attention only recently. The maritime environment offers its own unique requirements and challenges. Assessment of the quality of detections is a fundamental need in computer vision. However, the conventional assessment metrics suitable for usual object detection are deficient in the maritime setting. Thus, a large body of related work in computer vision appears inapplicable to the maritime setting at the first sight. We discuss the problem of defining assessment metrics suitable for maritime computer vision. We consider new bottom edge proximity metrics as assessment metrics for maritime computer vision. These metrics indicate that existing computer vision approaches are indeed promising for maritime computer vision and can play a foundational role in the emerging field of maritime computer vision.