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

Source: [Challenges in video based object detection in maritime scenario using computer vision](<https://www.sota2.com/research/paper/68fa62a61e209131ce9fa902>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T20:24:19.140Z

Authors: D. K. Prasad, C. K. Prasath, D. Rajan, L. Rachmawati, E. Rajabaly, C. Quek

Published: 2016-08-03T05:55:18.000Z

## 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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1608.01079>)

[PDF](<https://arxiv.org/pdf/1608.01079.pdf>)