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3D Model Based Vehicle Tracking by Optimizing Gradient Based Fitness Evaluation
Zhaoxiang Zhang; Kaiqi Huang; Tieniu Tan; Yunhong Wang
2010
会议名称ICPR2010
会议录名称ICPR2010
页码1771-1774
会议日期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Gradient Methods   object Detection   particle Filtering 
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12700
专题智能感知与计算研究中心
通讯作者Kaiqi Huang
作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Zhaoxiang Zhang,Kaiqi Huang,Tieniu Tan,et al. 3D Model Based Vehicle Tracking by Optimizing Gradient Based Fitness Evaluation[C],2010:1771-1774.
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