| |
Search videos for localization |
|
|
|
|
Device-free Passive Localization for Wireless Environments
Google Tech Talks
September 17, 2008
ABSTRACT
Typical location determination systems, for example Global Positioning System (GPS), require the presence of a physical device that is attached to the object that is being tracked. In addition, they usually require the tracked device to participate actively in the localization process by running part of the localization algorithm or by extracting the physical signals used in communication, such as signal strength or time. In this talk, we introduce the concept of Device-free Passive (DfP) localization for outdoor wireless networks. A DfP system is envisioned to be able to detect, track, and identify entities that do not carry any device, nor participate actively in the localization process. The system works by monitoring and processing changes in the received physical signals at one or more monitoring points to detect changes in the environment. Applications for DfP systems include intrusion detection and tracking, protecting outdoor assets, such as pipelines, railroad tracks, and perimeters, and enhancing the security of other detection systems.
In this talk, we will describe the DfP system's architecture and the challenges that need to be addressed to materialize a DfP system. We show the feasibility of the system by describing algorithms for implementing different functionalities of a DfP system that works with nominal WiFi equipment. We present two techniques for intrusion detection and a technique for tracking a single intruder. Our results show that the system can achieve very high probability of detection and tracking with very few false positives. We also identify different research directions for addressing the challenges of realizing a DfP system.
Speaker: Dr. Moustafa Youssef
Moustafa Youssef is an Assistant Professor at Nile University, Egypt. He received his Ph.D. degree in omputer science from University of Maryland, USA in 2004 and a B.Sc. and M.Sc. in computer science from Alexandria University, Egypt in 1997 and 1999 respectively. His research interests include location determination technologies, pervasive computing, sensor networks, and protocol modeling and analysis. Dr. Youssef is the recipient of the 2003 University of Maryland Invention of the Year award for his Horus location determination technology.
Length: 2195
Rating: 3.60 (10 ratings)
Tags: google techtalks techtalk engedu talk talks googletechtalks education
|
Play |
|
|
Economic Localization - A Community Rediscovering Itself
Peak Moment 95: In this freewheeling conversation, Jason Bradford and Brian Weller, co-founders of Willits Economic LocaLization (WELL), discuss local food security, creating a farm at a nearby grade school, being rooted in community, urban/rural challenges regarding wealth and land use, regional trading partners, reinventing local public transportation, and more.
Length: 1643
Rating: 4.60 (8 ratings)
Tags: economic localization community land use trade transportation well willits
|
Play |
|
|
shark prey localization
CVA 2008 project on shark sensing using the lateral line system
Length: 415
Rating: 0.00 (0 ratings)
Tags: cva union shark
|
Play |
|
|
Video-rate recognition and localization for wearable cameras
Using simultaneous localization and mapping to determine the 3D surroundings and pose of a wearable or hand-held camera provides the geometrical foundation for several capabilities of value to an autonomous wearable vision system. The one explored here is the ability to incorporate recognized objects into the map of the surroundings and refer to them. Established methods for feature cluster recognition are used to identify and localize known planar objects, and their geometry is incorporated into the map of the surrounds using a minimalist representation. Continued measurement of these mapped objects improves both the accuracy of estimated maps and the robustness of the tracking system. In the context of wearable (or hand-held) vision, the system's ability to enhance generated maps with known objects increases the map's value to human operators, and also enables meaningful automatic annotation of the user's surroundings.
Length: 160
Rating: 5.00 (5 ratings)
Tags: castle klein gawley murray bmvc 2007 oxford active vision monoslam slam recognition localization wearable camera
|
Play |
|
|
Facilitating Economic Localization in Willits, California
Peak Moment 94: Jason Bradford and Brian Weller, co-founders of Willits Economic LocaLization (WELL), discuss their group's approach to educating and enrolling their townsfolk about declining oil and the imperative to reduce dependencies on imported energy, food, and other goods. They view their group as a mid-WIFE: a Watchdog, Incubator, Facilitator and Educator. They're pioneering "rediscovering where we live--and it's exciting." [www.willitseconomiclocalization.org]
Length: 1670
Rating: 4.60 (8 ratings)
Tags: localization peak oil energy local economy organizing Willits
|
Play |
|
|
