A novel unsupervised approach to discovering regions of interest in traffic images
作者：
Highlights：
• This paper focuses on explaining what regions in traffic images can be of interest.
• A computational model based on an unsupervised way is proposed.
• Our study shows that the distribution of such data can be captured by a simplex in a linear subspace.
• An effective method to identify the simplex vertices is proposed.
• The results validate and show the efficacy of the proposed approach.
摘要
Highlights•This paper focuses on explaining what regions in traffic images can be of interest.•A computational model based on an unsupervised way is proposed.•Our study shows that the distribution of such data can be captured by a simplex in a linear subspace.•An effective method to identify the simplex vertices is proposed.•The results validate and show the efficacy of the proposed approach.
论文关键词：Image of traffic scene (ITS),Regions of interest,Simplex vertex,Matrix factorization
论文评审过程：Received 24 May 2014, Revised 19 September 2014, Accepted 30 January 2015, Available online 7 February 2015.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.01.029
