{"title":"基于DSP的红外点目标检测与跟踪","authors":"Zhao Hong-wei, Zhang Xiao-lin, Qi Yi-ming","doi":"10.1109/SNPD.2007.319","DOIUrl":null,"url":null,"abstract":"In the embedded real-time image processing system, moving mini point target was detected and tracked. The self-adaptive threshold division and corresponding matching method were employed to detect the moving target and restrain the background noise. And with the memory extrapolate image processing method, the sheltered target was tracked. According to the requirement of image data and algorithm complexity, the simulation was realized on TMS320DM642 board based on TI Company. The results show CPU utilization rate is 83.3%, which could satisfy the real-time requirement, and the image output is smooth with high reliability.","PeriodicalId":197058,"journal":{"name":"Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Infrared Point Target Detection and Tracking Based on DSP\",\"authors\":\"Zhao Hong-wei, Zhang Xiao-lin, Qi Yi-ming\",\"doi\":\"10.1109/SNPD.2007.319\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the embedded real-time image processing system, moving mini point target was detected and tracked. The self-adaptive threshold division and corresponding matching method were employed to detect the moving target and restrain the background noise. And with the memory extrapolate image processing method, the sheltered target was tracked. According to the requirement of image data and algorithm complexity, the simulation was realized on TMS320DM642 board based on TI Company. The results show CPU utilization rate is 83.3%, which could satisfy the real-time requirement, and the image output is smooth with high reliability.\",\"PeriodicalId\":197058,\"journal\":{\"name\":\"Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SNPD.2007.319\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD.2007.319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Infrared Point Target Detection and Tracking Based on DSP
In the embedded real-time image processing system, moving mini point target was detected and tracked. The self-adaptive threshold division and corresponding matching method were employed to detect the moving target and restrain the background noise. And with the memory extrapolate image processing method, the sheltered target was tracked. According to the requirement of image data and algorithm complexity, the simulation was realized on TMS320DM642 board based on TI Company. The results show CPU utilization rate is 83.3%, which could satisfy the real-time requirement, and the image output is smooth with high reliability.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
