{"title":"基于直接阈值分割的视频帧目标检测与特征提取","authors":"A. Al-salih, S. Ahson","doi":"10.1109/MSPCT.2009.5164215","DOIUrl":null,"url":null,"abstract":"This paper. presents a method for objects detection and features extraction in static video imagery that operates on color/gray-scale frames grabbed by common digital cameras or readily available images from external sources. Segmenting objects is achieved by a technique proposed here and named as direct thresholding (DTh) with background extracted through applying morphological background estimation scheme (MBES). The accommodating hardware is represented by a dedicated P4 PC-based image processing environment, whereas the intrinsic software has been simulated and validated using MATLAB7.3 platform. Human visual perceptual inspection plus histogramming showed an appreciable level of performance through a specific experimentation of multiple-phases. The envisaged diverse fields of application of this method may involve: traffic flow measurement of vehicles and pedestrians; athletic and dancing performance evaluation; public, private, and military security, and so on.","PeriodicalId":179541,"journal":{"name":"2009 International Multimedia, Signal Processing and Communication Technologies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Object detection and features extraction in video frames using direct thresholding\",\"authors\":\"A. Al-salih, S. Ahson\",\"doi\":\"10.1109/MSPCT.2009.5164215\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper. presents a method for objects detection and features extraction in static video imagery that operates on color/gray-scale frames grabbed by common digital cameras or readily available images from external sources. Segmenting objects is achieved by a technique proposed here and named as direct thresholding (DTh) with background extracted through applying morphological background estimation scheme (MBES). The accommodating hardware is represented by a dedicated P4 PC-based image processing environment, whereas the intrinsic software has been simulated and validated using MATLAB7.3 platform. Human visual perceptual inspection plus histogramming showed an appreciable level of performance through a specific experimentation of multiple-phases. The envisaged diverse fields of application of this method may involve: traffic flow measurement of vehicles and pedestrians; athletic and dancing performance evaluation; public, private, and military security, and so on.\",\"PeriodicalId\":179541,\"journal\":{\"name\":\"2009 International Multimedia, Signal Processing and Communication Technologies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Multimedia, Signal Processing and Communication Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSPCT.2009.5164215\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Multimedia, Signal Processing and Communication Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSPCT.2009.5164215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Object detection and features extraction in video frames using direct thresholding
This paper. presents a method for objects detection and features extraction in static video imagery that operates on color/gray-scale frames grabbed by common digital cameras or readily available images from external sources. Segmenting objects is achieved by a technique proposed here and named as direct thresholding (DTh) with background extracted through applying morphological background estimation scheme (MBES). The accommodating hardware is represented by a dedicated P4 PC-based image processing environment, whereas the intrinsic software has been simulated and validated using MATLAB7.3 platform. Human visual perceptual inspection plus histogramming showed an appreciable level of performance through a specific experimentation of multiple-phases. The envisaged diverse fields of application of this method may involve: traffic flow measurement of vehicles and pedestrians; athletic and dancing performance evaluation; public, private, and military security, and so on.