{"title":"基于红外图像ISC的行人检测","authors":"Lianna Chen, Wenshu Li, Zhengxi Xu, Limei Tang","doi":"10.1109/ICNDC.2012.47","DOIUrl":null,"url":null,"abstract":"A novel approach toward pedestrian detection applied to infrared images using improved Shape Context feature (ISC) is proposed. We apply Bilateral Filtering for images to preserve the information of large sharp edges and to facilitate the task of Shape Context feature (SC) extracting. Then, we study an image descriptor based on an improved Shape Context feature (ISC), which is more robust to object deformation. For a test image, improved SC features are extracted and matched to the codebook. A voting scheme then obtains object locations from the matching results. Experimental results with Infrared Image Database demonstrate that our method is suitable for infrared images, and is promising.","PeriodicalId":151593,"journal":{"name":"2012 Third International Conference on Networking and Distributed Computing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Pedestrian Detection Based on ISC in Infrared Images\",\"authors\":\"Lianna Chen, Wenshu Li, Zhengxi Xu, Limei Tang\",\"doi\":\"10.1109/ICNDC.2012.47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel approach toward pedestrian detection applied to infrared images using improved Shape Context feature (ISC) is proposed. We apply Bilateral Filtering for images to preserve the information of large sharp edges and to facilitate the task of Shape Context feature (SC) extracting. Then, we study an image descriptor based on an improved Shape Context feature (ISC), which is more robust to object deformation. For a test image, improved SC features are extracted and matched to the codebook. A voting scheme then obtains object locations from the matching results. Experimental results with Infrared Image Database demonstrate that our method is suitable for infrared images, and is promising.\",\"PeriodicalId\":151593,\"journal\":{\"name\":\"2012 Third International Conference on Networking and Distributed Computing\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third International Conference on Networking and Distributed Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNDC.2012.47\",\"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 International Conference on Networking and Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNDC.2012.47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pedestrian Detection Based on ISC in Infrared Images
A novel approach toward pedestrian detection applied to infrared images using improved Shape Context feature (ISC) is proposed. We apply Bilateral Filtering for images to preserve the information of large sharp edges and to facilitate the task of Shape Context feature (SC) extracting. Then, we study an image descriptor based on an improved Shape Context feature (ISC), which is more robust to object deformation. For a test image, improved SC features are extracted and matched to the codebook. A voting scheme then obtains object locations from the matching results. Experimental results with Infrared Image Database demonstrate that our method is suitable for infrared images, and is promising.