Recover 3D Information of the Moving Object from Video Streams
Zheng Yu-tong, Li Ming, Liao Fang
Available Online November 2013.
- https://doi.org/10.2991/icmt-13.2013.202How to use a DOI?
- Binocular, corresponding points, epipolar constraints, sparse depth map, autonomous navigation
- Perception of the moving object in 3D from video streams has been one hot topic in computer vision. We present a fast method to reconstruct 3D information of the moving object from binocular video streams. System is assembled as two pipelines, technica are used to excavate the potential parallelism. With the corresponding points searching confined to very limited and credible region, the mismatching errors and time-consumed computation are reduced considerably. At the last, sparse depth map is calculated and then 3D contours and location of the object are estimated. The system is implemented and tested with outdoor and indoor moving object perception on 640×480 frame. Results show that the proposed method is improved in speed and stability. It can be used as a reference for autonomous navigation of mobile robot and object tracking.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zheng Yu-tong AU - Li Ming AU - Liao Fang PY - 2013/11 DA - 2013/11 TI - Recover 3D Information of the Moving Object from Video Streams BT - 3rd International Conference on Multimedia Technology(ICMT-13) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icmt-13.2013.202 DO - https://doi.org/10.2991/icmt-13.2013.202 ID - Yu-tong2013/11 ER -