%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% This code is for the paper Meng Yang, Lei Zhang and David Zhang. METAFACE LEARNING FOR SPARSE REPRESENTATION BASED FACE RECOGNITION. ICIP, Hong Kong, 2010
本资源是基于VS2017+opecv3.2开发的源码，主要功能是识别视频中的火焰，采用的算法是颜色检测，Thou-Ho (Chao-Ho) Chen, Ping-Hsueh Wu, and Yung-Chuen Chiou 于2004年在ICIP发表的文章《An Early Fire-Detection Method Based on Image Processing》中建立的颜色模型。声明：此代码核心部分来源网络，本人部分修改，共同学习提高。如果帮助请多多支持。
With the introduction of diverse variety of display transmission and resolutions channel capacities, the Joint Video Team (JVT) has developed the H.264/SVC as an extension of H.264/AVC. In fact, it provides a single compressed bit-stream with several
脑脊液
###各种人体对比敏感度功能（CSF）模型
如果您认为该项目可以为您提供帮助，或者可以使用该项目中的某些功能，请考虑引用以下文章：
inproceedings{Watson02,
author = {Watson, Andrew and Malo, Jesús},
year = {2002},
month = {02},
pages = {III-41 },
title = {Video quality measures based on the standard spatial ob
