{"title":"基于动力学的无人机视频轨迹分割","authors":"P. Banerjee, R. Nevatia","doi":"10.1109/AVSS.2010.23","DOIUrl":null,"url":null,"abstract":"A novel representation of vehicle trajectories is proposedfor applications in trajectory analysis and activity detection.Specifically, a piecewise arc fitting based smoothingalgorithm is proposed for denoising the trajectories. A dynamicprogram is used to find the optimal arc fit to a giventrajectory. We motivate the usage of dynamic primitivesto parametrize common vehicular activities, and proposea dynamics based trajectory segmentation algorithm. Eachprimitive is modeled using a second order Auto-Regressivemodel, and form useful descriptors for a given vehiculartrajectory. We evaluate both our trajectory smoothing anddynamic trajectory segmentation algorithm on a real UAVvideo dataset, and show performance improvements whichclearly motivate its wide applicability in a general trajectoryanalysis system.","PeriodicalId":415758,"journal":{"name":"2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Dynamics Based Trajectory Segmentation for UAV videos\",\"authors\":\"P. Banerjee, R. Nevatia\",\"doi\":\"10.1109/AVSS.2010.23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel representation of vehicle trajectories is proposedfor applications in trajectory analysis and activity detection.Specifically, a piecewise arc fitting based smoothingalgorithm is proposed for denoising the trajectories. A dynamicprogram is used to find the optimal arc fit to a giventrajectory. We motivate the usage of dynamic primitivesto parametrize common vehicular activities, and proposea dynamics based trajectory segmentation algorithm. Eachprimitive is modeled using a second order Auto-Regressivemodel, and form useful descriptors for a given vehiculartrajectory. We evaluate both our trajectory smoothing anddynamic trajectory segmentation algorithm on a real UAVvideo dataset, and show performance improvements whichclearly motivate its wide applicability in a general trajectoryanalysis system.\",\"PeriodicalId\":415758,\"journal\":{\"name\":\"2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AVSS.2010.23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AVSS.2010.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamics Based Trajectory Segmentation for UAV videos
A novel representation of vehicle trajectories is proposedfor applications in trajectory analysis and activity detection.Specifically, a piecewise arc fitting based smoothingalgorithm is proposed for denoising the trajectories. A dynamicprogram is used to find the optimal arc fit to a giventrajectory. We motivate the usage of dynamic primitivesto parametrize common vehicular activities, and proposea dynamics based trajectory segmentation algorithm. Eachprimitive is modeled using a second order Auto-Regressivemodel, and form useful descriptors for a given vehiculartrajectory. We evaluate both our trajectory smoothing anddynamic trajectory segmentation algorithm on a real UAVvideo dataset, and show performance improvements whichclearly motivate its wide applicability in a general trajectoryanalysis system.