Human Behavior Recognition Based on Fractal Conditional Random Field

摘要：

　　In order to meet the demand of visual behavior recognition,we introduce Fractal Conditional Random Field (FCRF) model.FCRF model has improved Latent-Dynamic Conditional Random Field (LDCRF),and proposed the concept of fractal labels that define the integrity and directionality of human behavior.FCRF model overcomes real-time issues of the Hidden Conditional Random Field (HCRF) and the problem of label bias when the behavior transform.The experimental results show that the algorithm proposed in this paper has better recognition performance than Conditional Random Field (CRF),HCRF and LDCRF.

关键词： behavior recognition FCRF LDCRF HCRF CRF

作者: Zhuowen Lv Kejun Wang

作者单位: College of Automation, Harbin Engineering University, Harbin 150001

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 1506-1510

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）