| 乔传标1, 王素玉1,2， 卓 力1, 沈兰荪1 |
(1. 北京工业大学 信号与信息处理研究室，北京 100022； 2. 河北大学 电子信息工程学院,河北 保定 071002） |
 摘要：介绍了智能视觉监控中运动目标的检测与跟踪过程所涉及的各项关键技术，主要包括目标提取、阴影检测、目标分割和目标跟踪等。对各项技术的基本原理和主要实现方法进行了分析和总结，并指出了各种方法的特点、存在问题及解决方案。 |
| 关键词：目标提取；阴影检测；目标分割；目标跟踪 |
| 中图分类号：TP391 文献标识码：A 文章编号：1000-8829(2008)05-0022-03 |
| Object Detection and Tracking for Intelligent Video Surveillance |
| QIAO Chuan-biao1, WANG Su-yu1,2, ZHUO Li1, SHEN Lan-sun1 |
| (1. Signal & Information Processing Laboratory,Beijing University of Technology,Beijing 100022,China; 2. College of Electronic and Information Engineering,Hebei University,Baoding 071002,China) |
| Abstract：The key techniques involved in the process of moving object detection and tracking for intelligent video surveillance including object extraction,shadow detection,object segmentation and object tracking are introduced.The principles and implementation methods of them are analyzed and summarized,as well as their properties,existing problems and solutions are presented. |
| Key words：object extraction;shadow detection;object segmentation;object tracking |
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