伪装
计算机视觉
目标检测
人工智能
计算机科学
影子(心理学)
对象(语法)
对象类检测
视频跟踪
Viola–Jones对象检测框架
跟踪(教育)
事件(粒子物理)
模式识别(心理学)
特征提取
人脸检测
物理
心理治疗师
量子力学
面部识别系统
教育学
心理学
作者
Archana RajeshDate,Sanjeevani KiranShah
出处
期刊:International Conference on Computing Communication Control and automation
日期:2017-08-01
被引量:1
标识
DOI:10.1109/iccubea.2017.8463730
摘要
Moving object detection is an important and basic step in any video surveillance application. Detected object has used an input to higher level tasks such as tracking, event detection, and behavioral analysis. There are several challenges in moving object detection such as illumination changes, occlusion, shadow, bootstrap, dynamic background etc. Detection of moving object having similar color as background structure is called as camouflage, which is another big challenge. The method of detecting camouflage moving object is known as Decamouflaging. In recent years, the researchers are attracted towards the camouflage moving object detection due to its application in the military. In this review paper, different techniques using various features for camouflaged moving obj ect detection were studied.
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