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EDA Approach for Model Based Localization and Recognition of Vehicle
Zhaoxiang Zhang; Weishan Dong; Kaiqi Huang; Tieniu Tan
2007
会议名称CVPR workshop on the Seventh International Workshop on Visual Surveillance
会议录名称CVPR workshop on the Seventh International Workshop on Visual Surveillance
页码1-8
会议日期2007-06-01
会议地点Minneapolis, Minnesota, USA
摘要We address the problem of model based recognition. Our aim is to localize and recognize road vehicles from monocular images in calibrated scenes. A deformable 3D geometric vehicle model with 12 parameters is set up as prior information and Bayesian Classification Error is adopted for evaluation of fitness between the model and images. Using a novel evolutionary computing method called EDA (Estimation of Distribution Algorithm), we can not only determine the 3D pose of the vehicle, but also obtain a 12 dimensional vector which corresponds to the 12 shape parameters of the model. By clustering obtained vectors in the parameter space, we can recognize different types of vehicles. Experimental results demonstrate the effectiveness of the approach to vehicles of different types and poses. Thanks to EDA, we can not only localize and recognize vehicles, but also show the whole evolution procedure of the deformable model which gradually fits the image better and better.
关键词Evolutionary Computation   image Classification   image Recognition
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12726
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,Weishan Dong,Kaiqi Huang,et al. EDA Approach for Model Based Localization and Recognition of Vehicle[C],2007:1-8.
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