计算机工程与应用2012，Vol.48Issue(30)：177-181,5.DOI:10.3778/j.issn.1002-8331.2012.30.037
复杂背景下的行人检测与分割
Pedestrian detection and segmentation under background clutter
陈超 1宣士斌 1徐俊格1
作者信息
- 1. 内江师范学院数学与信息科学学院,四川内江641112
- 折叠
摘要
Abstract
It is difficult to get the pedestrian by the traditional algorithm of detecting objection. The segmented object won' t satisfy the later processing. The result of the segmentation affects the real-time and accuracy of the objects' tracking; For that reason, this paper detects and segments an object before tracking and recognition, adds new trapezoidal feature in Adaboost basic feature, roughly detects the position of the object and regards it as the initial location of ACM and improves the energy function. Contour of pedestrian gradually shrinks until the energy function decreases to a minimum. It extracts the real pedestrian target region from background region. Compared experiment results indicate the improved method satisfies obviously real time requirement and precision requirement. To a certain extent, it also reaches the needs of the intelligent.关键词
行人检测/行人分割/AdaBoost/蛇形分割Key words
pedestrian detection/ pedestrian segmentation/ AdaBoost/ snake segmentation分类
信息技术与安全科学引用本文复制引用
陈超,宣士斌,徐俊格..复杂背景下的行人检测与分割[J].计算机工程与应用,2012,48(30):177-181,5.
