作者：Ajoy Mondal

作者单位：

发布时间：2020

发布期刊/会议：arxiv

论文地址：

Camouflaged Object Detection and Tracking: A Survey

论文代码：

地位：

一、摘要

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 is limited due to its complexity. Existing work on this problem has been done based on either biological characteristics of the camouflaged objects or computer vision techniques. This article reviews the existing camouflaged object detection and tracking techniques using computer vision algorithms from the theoretical perspective. This article also addresses several issues of interest as well as future research direction in this area. We hope this review will help the reader learn the recent advances in camouflaged object detection and tracking.

• 由于**伪装目标（Camouflaged Object）**的复杂性，对伪装目标的检测与跟踪研究受到了限制。
• 本文从理论角度综述了现有的基于计算机视觉算法的伪装目标检测与跟踪技术。
• 本文还讨论了该领域的几个值得关注的问题以及未来的研究方向。

二、研究背景

• 在受控环境下的目标检测问题已经取得了相当大的成功，但在野外仍然没有解决这个问题。
• 由于以下几个因素，视觉目标检测和跟踪成为一个非常具有挑战性的问题
  • low-quality camera sensors（包括低分辨率，低比特深度，低帧率和颜色失真）
  • multi-view object tracking （多摄像头）
  • requirements for real-time tracking （实时）
  • challenging factors（如跟踪非刚性物体、跟踪小物体、跟踪多个物体和跟踪姿态变化的物体）
  • **variations in object appearance due to several complicated factors （**照度变化(图1(a))、背景杂波（图1(b)），部分物体遮挡（图1(b)）、全部物体遮挡(图1(d))、物体尺度和方向的大变化(图1(e)和(f))、部分伪装物体(图1(g))、姿态变化(图1(h))、形状变形(图1(i))、摄像机快速运动和噪声）
    • 图片示例