{"title":"一种新的改进的ViBe算法来加速对鬼影的抑制","authors":"Keyang Cheng, Kaifa Hui, Yongzhao Zhan, M. Qi","doi":"10.1109/FSKD.2016.7603432","DOIUrl":null,"url":null,"abstract":"This paper presents a new improved ViBe algorithm approach to accelerate the ghost suppression, which is a robust and efficient background subtraction algorithm for video sequences. The ViBe has the advantages of faster processing speed and lighter computation load compared with other algorithms. For the sake of the real-time performance of the background modeling, it only uses the first frame to build the background model during the process of initialization. However, it will result in introducing ghost area in the subtraction progression, which has an impact on the performance of the background modeling. We put forward a novel method to accelerate the elimination of the ghost area by detecting and reinitializing the region of the ghost area. Our enhanced algorithm is compared with other improved algorithms with the same aim to suppress the generation of the ghost by conducting a series of contrast experiments. The comparison figures show that our method has better performance in ghost suppression. The PCC is used as a metric to evaluate our algorithm performance. The experiment results show that the PCC of our algorithm has improved after the second frame distinctly in contrast to the original algorithm as well as the improved algorithms mentioned in this paper. Besides, the time for processing per frame can still meet the demand of real-time performance.","PeriodicalId":373155,"journal":{"name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A novel improved ViBe algorithm to accelerate the ghost suppression\",\"authors\":\"Keyang Cheng, Kaifa Hui, Yongzhao Zhan, M. Qi\",\"doi\":\"10.1109/FSKD.2016.7603432\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new improved ViBe algorithm approach to accelerate the ghost suppression, which is a robust and efficient background subtraction algorithm for video sequences. The ViBe has the advantages of faster processing speed and lighter computation load compared with other algorithms. For the sake of the real-time performance of the background modeling, it only uses the first frame to build the background model during the process of initialization. However, it will result in introducing ghost area in the subtraction progression, which has an impact on the performance of the background modeling. We put forward a novel method to accelerate the elimination of the ghost area by detecting and reinitializing the region of the ghost area. Our enhanced algorithm is compared with other improved algorithms with the same aim to suppress the generation of the ghost by conducting a series of contrast experiments. The comparison figures show that our method has better performance in ghost suppression. The PCC is used as a metric to evaluate our algorithm performance. The experiment results show that the PCC of our algorithm has improved after the second frame distinctly in contrast to the original algorithm as well as the improved algorithms mentioned in this paper. Besides, the time for processing per frame can still meet the demand of real-time performance.\",\"PeriodicalId\":373155,\"journal\":{\"name\":\"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FSKD.2016.7603432\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2016.7603432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel improved ViBe algorithm to accelerate the ghost suppression
This paper presents a new improved ViBe algorithm approach to accelerate the ghost suppression, which is a robust and efficient background subtraction algorithm for video sequences. The ViBe has the advantages of faster processing speed and lighter computation load compared with other algorithms. For the sake of the real-time performance of the background modeling, it only uses the first frame to build the background model during the process of initialization. However, it will result in introducing ghost area in the subtraction progression, which has an impact on the performance of the background modeling. We put forward a novel method to accelerate the elimination of the ghost area by detecting and reinitializing the region of the ghost area. Our enhanced algorithm is compared with other improved algorithms with the same aim to suppress the generation of the ghost by conducting a series of contrast experiments. The comparison figures show that our method has better performance in ghost suppression. The PCC is used as a metric to evaluate our algorithm performance. The experiment results show that the PCC of our algorithm has improved after the second frame distinctly in contrast to the original algorithm as well as the improved algorithms mentioned in this paper. Besides, the time for processing per frame can still meet the demand of real-time performance.