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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
Conference NameInternational Conference on Pattern Recognition
Source PublicationICPR 2010
Conference Date23-26 August 2010
Conference PlaceIstanbul, Turkey
AbstractWe 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.
KeywordParticle Filter Model Based Tracking Fitness Evaluation
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13245
Collection类脑智能研究中心
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
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.
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