Jun Wang, Jinyong Wu, Yike Wang, Z. Gong, Dejian Liu
{"title":"基于特定目标的多模板分解多视点视频跟踪方法及路径方案","authors":"Jun Wang, Jinyong Wu, Yike Wang, Z. Gong, Dejian Liu","doi":"10.1109/GCIS.2012.24","DOIUrl":null,"url":null,"abstract":"According to the need of specific object's tracking of multi-viewpoint video, a specific object's tracking method of multi-viewpoint video based on multi-template decomposed tracking and route scheme has been put forward in this paper. First, the route may be schemed by gridding search in this method. Then the object area from motion detection can be blew up, subsequently subtle location should be done again by integration chart. Last, the object from subtle location and the image templates from each angle should be matched. When matching the templates, the features can be extracted by up and down decomposition to the objects. The object with best match and over the threshold can be set as the object to be tracked further. Experiments show that the amount of computation can be reduced greatly and the speed can be improved by the route scheme. The tracking precision has been improved by the precision location of integration chart and the match of multi-template. The method in this paper can become a new method to effectively tracking the specific object of multi-viewpoint video.","PeriodicalId":337629,"journal":{"name":"2012 Third Global Congress on Intelligent Systems","volume":"237 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Multi-template Decomposed Tracking Method Based on Specific Object of Multi-viewpoint Video and Route Scheme\",\"authors\":\"Jun Wang, Jinyong Wu, Yike Wang, Z. Gong, Dejian Liu\",\"doi\":\"10.1109/GCIS.2012.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the need of specific object's tracking of multi-viewpoint video, a specific object's tracking method of multi-viewpoint video based on multi-template decomposed tracking and route scheme has been put forward in this paper. First, the route may be schemed by gridding search in this method. Then the object area from motion detection can be blew up, subsequently subtle location should be done again by integration chart. Last, the object from subtle location and the image templates from each angle should be matched. When matching the templates, the features can be extracted by up and down decomposition to the objects. The object with best match and over the threshold can be set as the object to be tracked further. Experiments show that the amount of computation can be reduced greatly and the speed can be improved by the route scheme. The tracking precision has been improved by the precision location of integration chart and the match of multi-template. The method in this paper can become a new method to effectively tracking the specific object of multi-viewpoint video.\",\"PeriodicalId\":337629,\"journal\":{\"name\":\"2012 Third Global Congress on Intelligent Systems\",\"volume\":\"237 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third Global Congress on Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCIS.2012.24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third Global Congress on Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCIS.2012.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Multi-template Decomposed Tracking Method Based on Specific Object of Multi-viewpoint Video and Route Scheme
According to the need of specific object's tracking of multi-viewpoint video, a specific object's tracking method of multi-viewpoint video based on multi-template decomposed tracking and route scheme has been put forward in this paper. First, the route may be schemed by gridding search in this method. Then the object area from motion detection can be blew up, subsequently subtle location should be done again by integration chart. Last, the object from subtle location and the image templates from each angle should be matched. When matching the templates, the features can be extracted by up and down decomposition to the objects. The object with best match and over the threshold can be set as the object to be tracked further. Experiments show that the amount of computation can be reduced greatly and the speed can be improved by the route scheme. The tracking precision has been improved by the precision location of integration chart and the match of multi-template. The method in this paper can become a new method to effectively tracking the specific object of multi-viewpoint video.