Can I read Tracking objects using 3D object proposals on EtoBox?

Tracking objects using 3D object proposals by Pahwa, Ramanpreet Singh; Ng, Tian Tsong; Do, Minh N. is a scholarly article available to read on EtoBox.

What is Tracking objects using 3D object proposals about?

3D object proposals, quickly detected regions in a 3D scene that likely contain an object of interest, are an effective approach to improve the computational efficiency and accuracy of the object detection framework. In this work, we propose a novel online method that uses our previously developed 3D object proposals, in a RGB-D video sequence, to match and track static objects in the scene using shape matching. Our main observation is that depth images provide important information about the geometry of the scene that is often ignored in object matching techniques. Our method takes less than a second in MATLAB on the UW-RGBD scene dataset on a single thread CPU and thus, has potential to be used in low-power chips in Unmanned Aerial Vehicles (UAVs), quadcopters, and drones.

Author

Pahwa, Ramanpreet Singh; Ng, Tian Tsong; Do, Minh N.

Published

2017

Language

EN