华东交通大学学报2016，Vol.33Issue(2)：121-126,6.
一种基于改进粒子滤波的多目标检测与跟踪方法
Multi-target Detecting and Tracking Method Based on Improved Particle Filter
周明 1涂宏斌2
作者信息
- 1. 上海申通轨道交通研究咨询有限公司，上海 201103
- 2. 华东交通大学轨道交通学院，江西 南昌 330013
- 折叠
摘要
Abstract
To solve the occlusion problem in multiple pedestrians detection and tracking with complex surveil-lance environment, the improved Gaussian detection model and improved particle filter were presented. The im-proved Gaussian detection model was firstly used to detect multiple moving targets under surveillance environ-ment. Then, the improved particle filter was employed for multiple pedestrian targets tracking while the targets were occluded. This method could eliminate or reduce filter instability and improve the tracking accuracy. Ex-periments proved that when the algorithm satisfied the real-time requirements, it could track human target accu-rately under conditions of both occlusion and non-occlusion.关键词
多目标跟踪/运动检测/粒子滤波/实时跟踪Key words
multi-target tracking/motion detection/particle filter/real-time tracking分类
计算机与自动化引用本文复制引用
周明,涂宏斌..一种基于改进粒子滤波的多目标检测与跟踪方法[J].华东交通大学学报,2016,33(2):121-126,6.
