Hitoshi Nishimura, K. Tasaka, Yasutomo Kawanishi, H. Murase
{"title":"[论文]基于交替更新轨迹和多帧动作特征的多人跟踪","authors":"Hitoshi Nishimura, K. Tasaka, Yasutomo Kawanishi, H. Murase","doi":"10.3169/mta.8.269","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a multiple human tracking method with alternately updating trajectories and multiframe action features (MHT-MAF). Even though occlusion or motion blur occurs due to the sudden movement of the drone, ID switches are prevented by the stable MAF. In the experiments, we verified the effectiveness of the proposed method using the Okutama-Action dataset. Our code is available online (https://github.com/hitottiez/mht-paf).","PeriodicalId":41874,"journal":{"name":"ITE Transactions on Media Technology and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"[Paper] Multiple Human Tracking with Alternately Updating Trajectories and Multi-Frame Action Features\",\"authors\":\"Hitoshi Nishimura, K. Tasaka, Yasutomo Kawanishi, H. Murase\",\"doi\":\"10.3169/mta.8.269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a multiple human tracking method with alternately updating trajectories and multiframe action features (MHT-MAF). Even though occlusion or motion blur occurs due to the sudden movement of the drone, ID switches are prevented by the stable MAF. In the experiments, we verified the effectiveness of the proposed method using the Okutama-Action dataset. Our code is available online (https://github.com/hitottiez/mht-paf).\",\"PeriodicalId\":41874,\"journal\":{\"name\":\"ITE Transactions on Media Technology and Applications\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ITE Transactions on Media Technology and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3169/mta.8.269\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ITE Transactions on Media Technology and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3169/mta.8.269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
[Paper] Multiple Human Tracking with Alternately Updating Trajectories and Multi-Frame Action Features
In this paper, we propose a multiple human tracking method with alternately updating trajectories and multiframe action features (MHT-MAF). Even though occlusion or motion blur occurs due to the sudden movement of the drone, ID switches are prevented by the stable MAF. In the experiments, we verified the effectiveness of the proposed method using the Okutama-Action dataset. Our code is available online (https://github.com/hitottiez/mht-paf).