VIBe with adaptive threshold based on energy minimization

摘要：

　　VIsual Background Extractor (VIBe) is a simple and effective background subtraction model,it is important to choose the threshold according to different environments.A new method based on the VIBE is presented which uses the adaptive threshold.We give a new description of the similarity degree without threshold, and then use the energy minimization model to combine the spatial information and show that dynamically choosing threshold in our kernel estimates at each individual pixel can significantly improve results.To compare with the traditional VIBe algorithms, a synthetic test SABS and a real world test I2R are used.Experiment shows that the presented method is on average 10% better than the traditional VIBe in accuracy.

关键词： Background Subtraction VIBE Energy Minimization Graph Cuts

作者: Liang XIE Xiaohu ZHANG Pengyu GUO Gucan LONG

作者单位: College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China;Hunan Key Laboratory of Video metrics and Vision Navigation, Changsha 410073, China

会议类型: 国际会议

会议名称: 2014 SEM Fall Conference and International Symposium on Intensive Loading and Its Effects(国际实验力学学会2014年秋季会议、强化装载及其影响国际研讨会)

会议地点: 北京

会议语种:英文

页码: 397-406

在线出版日期: 2014-10-19（万方平台首次上网日期，不代表论文的发表时间）