Design and implementation of detection and tracking system for bagged cargo

摘要：

A novel detection and tracking system for bagged cargo is proposed in this paper. First, a boosted cascade classifier based on Haar features is designed to recognize and locate the motion region together with frame difference. Second, a block region grow method is proposed to avoid the illumination and shadow interference in the frame difference image. Finally, template matching and mean shift are combined to locate and track the cargo. Experimental results show that the proposed method can locate the cargo with high accuracy and have good performance for detection and tracking bagged cargo.

关键词： Haar learning template matching block region grow Mean shift.

作者: Xuan LV Xianhui Liu WeiDongZHAO ZhiCheng WANG

作者单位: Tongji University Engineering Research Center for Enterprise Digital Technology,Ministry of Eduction Shanghai 200092,China

会议类型: 国际会议

会议名称: 2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics(第二届智能人机系统与控制论国际学术会议 IHMSC 2010)

会议地点: 南京

会议语种:英文

页码: 182-186

在线出版日期: 2010-08-26（万方平台首次上网日期，不代表论文的发表时间）