Challenges in video based object detection in maritime scenario using computer vision

TL;DR

This paper reviews the technical challenges faced in applying computer vision techniques to maritime video streams, highlighting issues like dynamic backgrounds, small distant objects, and illumination effects that complicate object detection.

Contribution

It provides a comprehensive discussion of the specific challenges in maritime video object detection, emphasizing the complexity of real-world maritime scenarios.

Findings

Horizon detection and frame registration are highly challenging in maritime environments.

Background subtraction and object detection are complicated by dynamic backgrounds and illumination.

Small and distant objects pose significant detection difficulties.

Abstract

This paper discusses the technical challenges in maritime image processing and machine vision problems for video streams generated by cameras. Even well documented problems of horizon detection and registration of frames in a video are very challenging in maritime scenarios. More advanced problems of background subtraction and object detection in video streams are very challenging. Challenges arising from the dynamic nature of the background, unavailability of static cues, presence of small objects at distant backgrounds, illumination effects, all contribute to the challenges as discussed here.