Camouflaged Object Detection and Tracking: A Survey

TL;DR

This survey reviews recent advances in camouflaged object detection and tracking using computer vision, highlighting challenges, existing methods, and future research directions in this complex area.

Contribution

It provides a comprehensive theoretical review of current techniques and discusses open issues and future directions in camouflaged object detection and tracking.

Findings

Existing methods are based on biological or computer vision techniques.

Camouflaged object detection remains a challenging problem.

The survey identifies key research gaps and future opportunities.

Abstract

Moving object detection and tracking have various applications, including surveillance, anomaly detection, vehicle navigation, etc. The literature on object detection and tracking is rich enough, and several essential survey papers exist. However, the research on camouflage object detection and tracking limited due to the complexity of the problem. Existing work on this problem has been done based on either biological characteristics of the camouflaged objects or computer vision techniques. In this article, we review the existing camouflaged object detection and tracking techniques using computer vision algorithms from the theoretical point of view. This article also addresses several issues of interest as well as future research direction on this area. We hope this review will help the reader to learn the recent advances in camouflaged object detection and tracking.