Multiple 3D object position estimation and tracking using double filtering on multi-core processor

作者：Park Jin hyung; Rho Seungmin; Jeong Chang sung^*; Kim Jongik

来源：Multimedia Tools and Applications, 2013, 63(1): 161-180.

DOI：10.1007/s11042-012-1029-9

• Augment reality
• Kalman filter
• Object tracking
• Parallel processing
• Robust filtering
• 3D estimation

We present a new algorithm to tracking multiple 3D objects that has robustness, real-time processing ability and fast object registration. Usually, many augmented reality applications want to track 3D object using natural features in real-time, more accuracy and want to register target object immediately in few seconds. Prevalent object tracking algorithm uses FERN for feature extraction that takes long time to register and learning target object for high quality performance. Our method provides not only high accuracy but also fast target object registering time about 0.3 ms in same environment and real-time processing. These features are presented by using SURF, ROI, double robust filtering and optimized multi-core parallelization. Using our methods, tracking multiple 3D objects with fast and high accuracy is available.

• 出版日期2013-3