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Detection and Tracking of Targets in Forward-Looking InfraRed (FLIR) Imagery

Detection and tracking of targets in forward looking infrared (FLIR) imagery are challenging tasks. IR sensors often provide low signal-to-noise ratio and heavy background cluttering images. Non-stationary cameras can introduce further challenges, because detection and tracking might make it necessa...

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Bibliographic Details
Main Author: Andrea Sanna ((Ed.))
Other Authors: Fabrizio Lamberti ((Ed.))
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2015
Subjects:
Tracking And Detection Of Pedestrians
Recognition And Identification Of Targets
Autonomous Vehicles
Applications And Case Studies
Real-time Target Tracking In Military Scenarios
Deformable Part Models
Template-matching Algorithms
Environmental Monitoring
Ego-motion Compensation And Background Removal Techniques
Video Surveillance
Automatic Detection
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:Detection and tracking of targets in forward looking infrared (FLIR) imagery are challenging tasks. IR sensors often provide low signal-to-noise ratio and heavy background cluttering images. Non-stationary cameras can introduce further challenges, because detection and tracking might make it necessary to properly deal with sensor ego-motion through suitable estimation and compensation techniques. Moreover, further issues are posed by imagery with multiple and possibly moving target and non-target objects, which can blend into the background, change their signature, size, shape, and even overlap during their motion. Finally, specific applications could introduce cumbersome real-time constraints, thus requiring tracking techniques with a reduced computational footprint. The objective of this Special Issue is to invite high state-of-the-art research contributions, tutorials, and position papers that address the broad challenges faced in analysis and processing of FLIR imagery. Original papers describing completed and unpublished work that are not currently under review by any other journal/magazine/conference/special issue are solicited.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
Physical Description:1 electronic resource (XIV, 228 p.)
ISBN:books978-3-03842-053-8
9783038420521
9783038420538

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