- 1、本文档共9页,可阅读全部内容。
- 2、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。
- 3、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载。
- 4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
查看更多
Weather Recognition Based on Images Captured
Weather Recognition Based on Images Captured
by Vision System in Vehicle
Xunshi Yan1, Yupin Luo1, and Xiaoming Zheng2
1 Tsinghua National Laboratory for Information Science and Technology (TNList),
Department of Automation, Tsinghua University, Beijing 100084, China
2 INF Technologies, Ltd. , Beijing 100086, China
yanxs06@mails.thu.edu.cn,luo@tsinghua.edu.cn,zheng@tsinghua.edu.cn
Abstract. Weather recognition is widely required in many areas, and
it is also a challenging and brand-new subject. This paper proposes an
approach to recognize weather based on images captured by in-vehicle
vision system. We bring three groups of features, including histogram of
gradient amplitude, HSV color histogram, road information, and employ
an algorithm based on Real AdaBoost, making use of the category struc-
ture to achieve the task of classification. Experiments confirm superior
performances on our dataset collected from images captured by vision
system.
Keywords: Weather recognition, Vision system, Real AdaBoost, HSV
color space, Category structure.
1 Introduction
Computer vision system has achieved great success in many areas, such as
surveillance, navigation, driver assistance system. However, the cameras exposed
outside are easily influenced by bad weather. For example, pedestrian detection
system in vehicle could not work at all when raindrop falls on the camera, even
results serious false-detection. Many vision systems also need to reset parameters
such as lighting, rain wiper, under different weather conditions. Hence, research
of weather recognition in vision system is in urgent demand.
Weather recognition is a brand-new subject and only a few of previous work
has addressed this issue. Garg and Naya[1] in Columbia University focus on
detecting and removing rain streaks from videos. The idea comes from moving
object detection. It makes a difference between the two adjacent frames, and
can give some perfect results under certain scenarios, but it is hard to satisfy
the dyna
您可能关注的文档
- Theoretical Computer Science Adjoints, absolute values and polar decompositions.pdf
- Theoretical description of spacecraft flybys by variation of parameters.pdf
- Theoretical Tools for Large Scale Structure.pdf
- Theory of Monolayers of Non-Gaussian Polymer Chains grafted onto a Surface Part 1.-General.pdf
- Theory of the singlet exciton yield in light-emitting polymers.pdf
- Thermal and Dynamical Particle Creation in a Curved Geometry.pdf
- THERMAL LENSES AND INTERNAL SOLITONS IN CHAPAIA LAKE, MEXICO.pdf
- Thermal Mechanism of Absolute Negative Conductivity in Two-Dimensional Electron Systems.pdf
- Thermal Control of an Airborne Electronics Bay.pdf
- Thermal structure and response to long-term climatic changes in Lake Qiandaohu.pdf
文档评论(0)