COMS30121_IPCV_L1_CaseStudy_1pp

Visual animal biometrics cutting edge computer vision

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Unformatted text preview: ting Edge Computer Vision in the Field CONCEPT: Automatically observe, recognise and identify animals in their natural habitat to generate semantically annotated sighting data. ( e.g. recorded frame + species + ID + time + location... ) MOTIVATION: Ease tedious data collection and analysis in... - Biological Sciences - Environmental Demographics/Management - Species Conservation - (Nature Documentary Production) ??? CHALLENGE: Achieving good Species Coverage Image Acquisition in Natural Environments Transfer+Storage+Retrieval of Large Video Data UNMATCHED ADVANTAGES: Computer Vision is markerless, non-invasive and scales well to large populations. Dept of Computer Science, University of Bristol, UK | COMS30121 | Slide 4 / 11 Tagless Animal Identification | Tilo Burghardt et al. Real-Time Species Detection + Unique Feature Extraction visualisation of extracted spot patterns next to the original specimen detections Dept of Computer Science, University of Bristol, UK | COMS30121 | Slide 5 / 11 Tagless Animal Identification | Tilo Burghardt et al. Recognition System in a Nutshell object Localisation/ rec...
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