数字技术与应用Issue(9)：73-75,3.
遮挡目标检测与识别技术研究
蔡星艳 1赵和鹏 2邱鹏 3朱长仁3
作者信息
- 1. 91635部队 北京 102249
- 2. 海装电子部 北京 100027
- 3. 国防科技大学ATR国防科技重点实验室 湖南长沙 410073
- 折叠
摘要
Abstract
Object occlusion often appears in real world, and it is an important problem how to detect and recognize interesting objects under occlusion in computer vision research field. Due to some information loss in occluded object, it’s a chal enging task to detect and recognize occluded object. First, this paper classifies the occluded object detection and recognition methods into three categories. Then, it summarizes and analyses the fundamentals, merits and drawbacks of the methods in details. Final y, it gives out the outlook of these methods.关键词
遮挡目标/目标检测/目标识别/局部特征Key words
occlusion/object detection/object recognition/local feature分类
信息技术与安全科学引用本文复制引用
蔡星艳,赵和鹏,邱鹏,朱长仁..遮挡目标检测与识别技术研究[J].数字技术与应用,2013,(9):73-75,3.
