Use of temporal redundancy of motion vectors for the increase of optical flow calculation speed as a contribution to real-time robot vision
- Resource Type
- Conference
- Authors
- Jitong Wei; Harle, N.
- Source
- TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162) TENCON '97 TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE. 2:677-680 vol.2 1997
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Power, Energy and Industry Applications
Robotics and Control Systems
Image motion analysis
Optical sensors
Robot vision systems
Optical noise
Optical filters
Optical signal processing
Robot sensing systems
Service robots
Image sequences
Cameras
- Language
Robotic vision is an important aspect in robotic application and, especially, the measurement of real-time optical flow is a fundamental problem in the processing of image sequences and in robotic vision. We developed a new second order search method to improve the accuracy of optical flow and to still retain the advantage of the linear-time optical flow method by using temporal redundancy of the motion vectors of image sequences. The new method is a trade-off between accuracy and computational complexity of optical flow. This method will play an important role in real-time optical flow estimation using a personal computer for robotic vision.