3D Model Based Vehicle Tracking Using Gradient Based Fitness Evaluation under Particle Filter Framework

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	3D Model Based Vehicle Tracking Using Gradient Based Fitness Evaluation under Particle Filter Framework
	Zhaoxiang Zhang; Kaiqi Huang; Tieniu Tan; Yunhong Wang
	2010-08-23
会议名称	International Conference on Pattern Recognition
会议录名称	ICPR 2010
会议日期	23-26 August 2010
会议地点	Istanbul, Turkey
摘要	We address the problem of 3D model based vehicle tracking from monocular videos of calibrated traffic scenes. A 3D wire-frame model is set up as prior information and an efficient fitness evaluation method based on image gradients is introduced to estimate the fitness score between the projection of vehicle model and image data, which is then combined into a particle filter based framework for robust vehicle tracking. Numerous experiments are conducted and experimental results demonstrate the effectiveness of our approach for accurate vehicle tracking and robustness to noise and occlusions.
关键词	Particle Filter Model Based Tracking Fitness Evaluation
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13245
专题	智能感知与计算研究中心
通讯作者	Zhaoxiang Zhang
推荐引用方式 GB/T 7714	Zhaoxiang Zhang,Kaiqi Huang,Tieniu Tan,et al. 3D Model Based Vehicle Tracking Using Gradient Based Fitness Evaluation under Particle Filter Framework[C],2010.