电子学报Issue(2)：320-332,13.DOI:10.3969/j.issn.0372-2112.2015.02.018
面向目标检测的稀疏表示方法研究进展
Recent Advances of Sparse Representation for Object Detection
高仕博 1程咏梅 2肖利平 1韦海萍3
作者信息
- 1. 北京航天自动控制研究所，北京 100854
- 2. 西北工业大学自动化学院，陕西西安710072
- 3. 宇航智能控制技术国家级重点实验室，北京 100854
- 折叠
摘要
Abstract
Object detection is a basic and important subject in image understanding ,which has attracted much attention from domestic and foreign scholars .Object detection has been widely used in military and civilian .The diversity and complexity of appli-cations makes the traditional detection technique be affected by many factors such as complex background ,noise ,illumination varia-tions ,non-rigid deformation ,occlusion ,feeble features ,scale ,visual angle attitude and ,etc .Recently ,the developing method of sparse representation provides a novel research approach for image processing and objects detection .This paper overviews the basic concept of sparse representation and its recent progress in the theoretical study .The domestic and foreign research advances of sparse representation in object detection are summarized ,especially in object feature learning ,classifier and filter designing ,multisource fu-sion detection .Meanwhile ,some future directions of sparse representation in object detection are also addressed .关键词
目标检测/图像处理/稀疏表示/特征Key words
object detection/image processing/sparse representation/features分类
信息技术与安全科学引用本文复制引用
高仕博,程咏梅,肖利平,韦海萍..面向目标检测的稀疏表示方法研究进展[J].电子学报,2015,(2):320-332,13.
