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Object Detection for Noncooperative Targets Using HOG-based Proposals
文献类型:会议
作者:Chen, Lu[1]  Huang, Panfeng[2]  Cai, Jia[3]  
机构:[1]Northwestern Polytech Univ, Natl Key Lab Aerosp Flight Dynam, Sch Astronaut, Xian 710072, Peoples R China.,Northwestern Polytech Univ, Res Ctr Intelligent Robot, Sch Astronaut, Xian 710072, Peoples R China.;
[2]Northwestern Polytech Univ, Natl Key Lab Aerosp Flight Dynam, Sch Astronaut, Xian 710072, Peoples R China.,Northwestern Polytech Univ, Res Ctr Intelligent Robot, Sch Astronaut, Xian 710072, Peoples R China.;
[3]Northwestern Polytech Univ, Natl Key Lab Aerosp Flight Dynam, Sch Astronaut, Xian 710072, Peoples R China.,Northwestern Polytech Univ, Res Ctr Intelligent Robot, Sch Astronaut, Xian 710072, Peoples R China.;
年:2015
通讯作者:Huang, PF (reprint author), Northwestern Polytech Univ, Natl Key Lab Aerosp Flight Dynam, Sch Astronaut, Xian 710072, Peoples R China.
会议名称:IEEE International Conference on Robotics and Biomimetics (ROBIO)
会议论文集:2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND
页码范围:1608-1613
会议地点:Zhuhai, PEOPLES R CHINA
会议开始日期:2015-01-01
收录情况:CPCI-S(WOS:000380476200268)  
所属部门:航天学院
人气指数:112
浏览次数:110
语言:外文
摘要:
In order to detect noncooperative objects with unknown structures, template based matching approaches are generally adopted. They rely on a large set of manually-selected templates and slide them over the image to determine the potential locations of objects. The process is exhaustive and computationally inefficient. In this paper, we propose a novel object detection algorithm using improved features of histogram of oriented gradients (HOG) to reduce the search region of potential objects regard ...More
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