Jianhao Tan, S. Tan, Liming Liu, Siyuan Zhang, Yaonan Wang
{"title":"建议颜色直方图感知网络","authors":"Jianhao Tan, S. Tan, Liming Liu, Siyuan Zhang, Yaonan Wang","doi":"10.1145/3366194.3366324","DOIUrl":null,"url":null,"abstract":"Visual object tracking has been a concern topic these years, and many trackers have achieved good results in various fields. These research and breakthroughs have made many improvements to solve problems such as drift, lighting, deformation and occlusion. In this paper, we use convolutional network to characterize the feature, and color features. Specifically, it contains region proposal network which including the classification branch and regression branch.","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Proposal color-histogram aware network\",\"authors\":\"Jianhao Tan, S. Tan, Liming Liu, Siyuan Zhang, Yaonan Wang\",\"doi\":\"10.1145/3366194.3366324\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Visual object tracking has been a concern topic these years, and many trackers have achieved good results in various fields. These research and breakthroughs have made many improvements to solve problems such as drift, lighting, deformation and occlusion. In this paper, we use convolutional network to characterize the feature, and color features. Specifically, it contains region proposal network which including the classification branch and regression branch.\",\"PeriodicalId\":105852,\"journal\":{\"name\":\"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3366194.3366324\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3366194.3366324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visual object tracking has been a concern topic these years, and many trackers have achieved good results in various fields. These research and breakthroughs have made many improvements to solve problems such as drift, lighting, deformation and occlusion. In this paper, we use convolutional network to characterize the feature, and color features. Specifically, it contains region proposal network which including the classification branch and regression branch.