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

• Auteur principal: Andrea Sanna (Ed.) (auth)
• Autres auteurs: Fabrizio Lamberti (Ed.) (auth)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: MDPI - Multidisciplinary Digital Publishing Institute 2015
• Sujets: template-matching algorithms; applications and case studies; autonomous vehicles; environmental monitoring; real-time target tracking in military scenarios; tracking and detection of pedestrians; ego-motion compensation and background removal techniques; deformable part models; automatic detection; recognition and identification of targets; video surveillance
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

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...