{"title":"一种基于内容的移动物体检测新算法","authors":"M. Dinesh Chandra, G. Kavitha","doi":"10.1109/ICSCN.2007.350654","DOIUrl":null,"url":null,"abstract":"The new video coding standard MPEG-4 is enabling content-based functionalities as well as high coding efficiency considering shape information of moving objects. This paper presents a technique for detecting moving objects in a video. This technique consists of three stages-motion estimation, spatial segmentation and motion based region merging. Experimental results using traffic video sequence is presented to demonstrate the accuracy of our proposed algorithm","PeriodicalId":257948,"journal":{"name":"2007 International Conference on Signal Processing, Communications and Networking","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel and Fast Algorithm to Detect Moving Objects for Content Based Applications\",\"authors\":\"M. Dinesh Chandra, G. Kavitha\",\"doi\":\"10.1109/ICSCN.2007.350654\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The new video coding standard MPEG-4 is enabling content-based functionalities as well as high coding efficiency considering shape information of moving objects. This paper presents a technique for detecting moving objects in a video. This technique consists of three stages-motion estimation, spatial segmentation and motion based region merging. Experimental results using traffic video sequence is presented to demonstrate the accuracy of our proposed algorithm\",\"PeriodicalId\":257948,\"journal\":{\"name\":\"2007 International Conference on Signal Processing, Communications and Networking\",\"volume\":\"117 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Signal Processing, Communications and Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCN.2007.350654\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Signal Processing, Communications and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCN.2007.350654","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel and Fast Algorithm to Detect Moving Objects for Content Based Applications
The new video coding standard MPEG-4 is enabling content-based functionalities as well as high coding efficiency considering shape information of moving objects. This paper presents a technique for detecting moving objects in a video. This technique consists of three stages-motion estimation, spatial segmentation and motion based region merging. Experimental results using traffic video sequence is presented to demonstrate the accuracy of our proposed algorithm