2005 IEEE International Conference on Multimedia and Expo An hardware architecture for 3D object tracking and motion estimation Amsterdam, Netherlands July 06-July 06 ISBN: 0-7803-9331-7
We present a method to track and estimate the motion of a 3D object with a monocular image sequence. The problem is based on the state equations and is solved by a sequential Monte Carlo method. The method uses a CAD model of the object whose projection can be compared directly with the pixels of the image. The advantage is to obtain a better accuracy and a direct estimation of the pose and motion in the 3D world. However, this algorithm needs a massive load in computing. For real-time use, we develop in this paper a distributed algorithm that dispatches the processing between the central processing unit (CPU) and the graphics processing unit (GPU) of a consumer-market computer. Some experimental results show that it is possible to obtain an accurate 3D tracking of the object with low computing costs.
Index Terms:
real-time use, motion estimation, 3D object tracking, hardware architecture, monocular image sequence, sequential Monte Carlo method, CAD model, computer aided design, central processing unit, CPU, graphics processing unit, GPU, consumer-market computer, distributed algorithm
Citation:
P. Lanvin, J.-C. Noyer, M. Benjelloun, "An hardware architecture for 3D object tracking and motion estimation," icme, pp.4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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