Sökning: "Human pose estimation"
Visar resultat 11 - 15 av 29 uppsatser innehållade orden Human pose estimation.
11. Low latency object detection on the Edge-cloud AprilTag-assisted object detection and positioning
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : This study proposes a low-latency video processing pipeline for object detection and positioning. The pipeline employs GPU-based inferenceframeworks and lightweight models for fast detection. LÄS MER
12. Skeleton Tracking for Sports Using LiDAR Depth Camera
Master-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : Skeletal tracking can be accomplished deploying human pose estimation strategies. Deep learning is shown to be the paramount approach in the realm where in collaboration with a ”light detection and ranging” depth camera the development of a markerless motion analysis software system seems to be feasible. LÄS MER
13. Continuous Balance Evaluation by Image Analysis of Live Video : Fall Prevention Through Pose Estimation
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : The deep learning technique Human Pose Estimation (or Human Keypoint Detection) is a promising field in tracking a person and identifying its posture. As posture and balance are two closely related concepts, the use of human pose estimation could be applied to fall prevention. LÄS MER
14. Automated Gait Analysis : Using Deep Metric Learning
Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenSammanfattning : Sectors of security, safety, and defence require methods for identifying people on the individual level. Automation of these tasks has the potential of outperforming manual labor, as well as relieving workloads. LÄS MER
15. 3D POSE ESTIMATION IN THE CONTEXT OF GRIP POSITION FOR PHRI
Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknikSammanfattning : For human-robot interaction with the intent to grip a human arm, it is necessary that the ideal gripping location can be identified. In this work, the gripping location is situated on the arm and thus it can be extracted using the position of the wrist and elbow joints. LÄS MER