COMS30121_IPCV_L1_CaseStudy_1pp

Recognition system in a nutshell object localisation

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Unformatted text preview: ognition Pattern Registration Normalisation (locate specimen) sensor Population Database ID Template biometric Generation Feature profiling Extraction (utilise unique features) ID Enrolment Operation Mode ID pattern matching Template Matching (establish identity) application ID Dept of Computer Science, University of Bristol, UK Image Data Biometrical Template Unique Identifier | COMS30121 | Slide 6 / 11 Tagless Animal Identification | Tilo Burghardt et al. Coping with Real Animals… Dept of Computer Science, University of Bristol, UK | COMS30121 | Slide 7 / 11 Tagless Animal Identification | Tilo Burghardt et al. Coping with Environmental Conditions… Coping with Non-Linear Body Deformation (using TPS+Shape Contexts) Spot Detection despite Dirt (using kNN Classifier Banks) Object-specific Lighting Normalisation (using Spectrally-enhanced Histogram Normalisation) Dept of Computer Science, University of Bristol, UK | COMS30121 | Slide 8 / 11 Tagless Animal Identification | Tilo Burghardt et al. Current Field Hardware (2009) operating Day/Night using RGB + Active IR DAY-NIGHT SENSORS IR...
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