Object Video Tracking

YOLO-NAS, Train Custom Dataset, Object Detection, Segmentation, Tracking, Real World Projects & Web Apps in Python

YOLO-NAS, Train Custom Dataset, Object Detection, Tracking, Real World Projects

Object Detection, Segmentation, Tracking, Pose Estimation, Web App Development, Real World 20 + projects with Web Apps

Object Detection, Object Tracking, WebApps using Flask, Object Detection on Custom Dataset, YOLO-World Object Detection

YOLOv8, Train Custom Dataset, Object Detection, Segmentation, Tracking, Real World 17 + Projects & Web Apps in Python

YOLO, Introduction to YOLOv8, Train Custom Dataset, Object Detection, Segmentation, Tracking, Real World 17 + Projects

YOLOv12, Learn Custom Object Detection and Tracking with YOLOv12, and Build Web Apps with Flask

As autonomous robots expand into the service domain, new solutions to the challenge of operating in domestic environments must be developed. Widespread adoption of service robots demands high robustness to environmental change and operational wear, and minimal reliance on application specific knowledge. As such, rich sensing modalities such as vision will play a central role in their success. This book takes steps towards the realization of domestic robots by presenting an integrated systems view of computer vision and robotics, covering fundamental topics including optimal sensor design, visual servoing, 3D object modelling and recognition, and multi-cue tracking, with a solid emphasis on robustness throughout. With in-depth treatment of both theory and implementation, extensive experimental results and comprehensive multimedia support including video clips, VRML data, C++ code and lecture slides, this book has wide appeal to both theoretical and practical roboticists and stands as a valuable teaching resource.

This book moves toward the realization of domestic robots by presenting an integrated view of computer vision and robotics, covering fundamental topics including optimal sensor design, visual servo-ing, 3D object modelling and recognition, and multi-cue tracking, emphasizing robustness throughout. Covering theory and implementation, experimental results and comprehensive multimedia support including video clips, VRML data, C++ code and lecture slides, this book is a practical reference for roboticists and a valuable teaching resource.