PPT-RFID Object Localization

Gabriel Robins and Kirti Chawla Department of Computer Science robinscsvirginiaedu kirticsvirginiaedu Outline Problem Object Localization Prior Art RFID Technology Primer Our Localization Approach. !. Mick Fortune. Library RFID Ltd.. (…but were afraid to ask?). A whistle . stop tour. What it is. How it . works and what . it’s used for. Why do . libraries . love RFID. Concerns and issues. Where to get advice. Natchanon. . Wongwilai. Adviser: . Nattee. . Niparnan. , Ph.D.. M.Eng. .. 1. Outline. Introduction. How to grasp?, Why failed to grasp?, Goal. Related Works. Vision-based grasping, Manipulation under uncertainty. for image classification. Olga . Russakovsky. , . Yuanqing. Lin,. Kai Yu, Li . Fei-Fei. ECCV 2012. Image classification. Testing:. Does this image contain a car?. Yes. Result. Model. Training:. cars. Learning Objectives. Understand why WSNs need localization protocols. Understand localization protocols in WSNs. Understand secure localization protocols. Prerequisites. Module 7. Basic concepts of network security. David Johnson. cs6370. Basic Problem. Go from this to this. [Thrun, Burgard & Fox (2005)]. . Kalman . Filter. [Thrun, Burgard & Fox (2005)]. . Kalman Limitations. Need initial state and confidence. Object Localization. Goal: detect the location of an object within an image. Fully supervised:. Training data labeled with object category and ground truth bounding boxes. Weakly supervised:. Only object category is known, no location info. Using Implicit Cues from Image Tags. Sung . Ju. Hwang and Kristen . Grauman. University . of Texas at . Austin. Jingnan. Li. Ievgeniia. . Gutenko. Baby. Infant. Kid. Child. Headphones. Red. Cute. Laughing. Lenin Ravindranath, Venkat Padmanabhan,. Piyush Agrawal (IIT Kanpur). Presence. RFID Antennas. Calendar. Camera. Enterprise. People and objects tagged. Goal: . Use RFID to capture rich interaction between people and their surroundings in an automated way. Under the Hood of Localization Services with Applications in Healthcare. Outline. Location-based . services (LBS). Localization techniques. Localization systems. Issues. Why do Companies and Governments Want Your Location Information?. Michael Vieau, CISSP, CEH. Kevin Bong, . GSE. , . PMP. , QSA, . GCIH. ,. GCIA. , . GPPA. , . GSEC. , . GCFA. , . GAWN. About Sikich Security & Compliance. A full-service information security and compliance consulting practice within . Michael Vieau, CISSP, CEH. Kevin Bong, . GSE. , . PMP. , QSA, . GCIH. ,. GCIA. , . GPPA. , . GSEC. , . GCFA. , . GAWN. About Sikich Security & Compliance. A full-service information security and compliance consulting practice within . VANET 2009. Eun Kyu Lee, Young Min . Yoo. , Chan Gook Park, . Minsoo. Kim, and Mario . Gerla. . RFID applications. RFID-enabled vehicular applications. RFID system. RFID read performance. Installation of RFID system on vehicle. Matthai Philipose, Kenneth P Fishkin, . Dieter Fox, Dirk Hahnel, Wolfram Burgard. Presenter: Aniket Shah. Outline. Introduction. Related Work. Probabilistic Sensor Model. Mapping. Localization. Experimental Results. Krishna Kumar Singh, Yong Jae Lee. University of California, Davis. Standard supervised object detection. Annotators. Detection models. car. [. Felzenszwalb. et al. PAMI 2010, . Girshick. et al. CVPR 2014, .