Image analysis – Applications – Target tracking or detecting
Reexamination Certificate
2006-05-22
2010-11-16
Ahmed, Samir A. (Department: 2624)
Image analysis
Applications
Target tracking or detecting
Reexamination Certificate
active
07835542
ABSTRACT:
An object tracking method may include: receiving frames of data containing image information of an object; performing an object segmentation to obtain an object motion result; and using the object motion result to conduct an object tracking. In particular, the object segmentation may include: extracting motion vectors from the frames of data; estimating a global motion using the motion vectors; and subtracting the global motion from the motion vectors to generate an object motion result.
REFERENCES:
patent: 6394557 (2002-05-01), Bradski
patent: 6499025 (2002-12-01), Horvitz et al.
patent: 6590999 (2003-07-01), Comaniciu et al.
patent: 6711278 (2004-03-01), Gu et al.
patent: 6826292 (2004-11-01), Tao et al.
patent: 6882959 (2005-04-01), Rui et al.
patent: 6901110 (2005-05-01), Tsougarakis et al.
patent: 6937744 (2005-08-01), Toyama
patent: 6950123 (2005-09-01), Martins
patent: 7356082 (2008-04-01), Kuhn
patent: 7376246 (2008-05-01), Shao et al.
patent: 2007/0092244 (2007-04-01), Pertsel et al.
Hu, et al., IEEE Trans. Systems, Man, and Cybernetics-Part C: Applications and Reviews, “A survey on visual surveillance of object motion and behaviors”, vol. 34, No. 3, pp. 334-352 (2004).
Comaniciu, et al., IEEE Trans. Pattern Analysis and Machine Intelligence, “Kernel-Based Object Tracking”, vol. 25, No. 5, pp. 564-577 (2003).
Comaniciu, et al., Proc. IEEE Int. Conf. Computer Vision & Pattern Recognition, “Real-time tracking of non-rigid objects using mean shift”, pp. 142-149 (2000).
Isard, et al., Int. J. Computer Vision, “Conditional density propagation for visual tracking”, vol. 29, No. 1, pp. 5-28 (1998).
Chang, et al., IEEE Signal Processing Letters, “Kernel particle filter for visual tracking”, vol. 12, No. 3, pp. 242-245 (2005).
Maggio, et al., Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing, “Hybrid particle filter and mean shift tracker with adaptive transition model”, pp. 3698-3701 (2005).
Deguchi, et al., Proc. IEEE Int. Conf. Computer Vision & Pattern Recognition, “Object tracking by the mean shift of regional color distribution combines with the particle-filter algorithm”, pp. 506-509 (2004).
Su, et al., Proc. IEEE Int. Symp. Circuits Syst., “Global motion estimation from coarsely sampled motion vector field and the applications”, pp. 628-631 (2003).
Jamrozik, et al., Proc. IEEE Int. Conf. Image Processing, “A Compressed domain video object segmentation system”, pp. 113-116 (2002).
K. Nummiaro et al., “An Adaptive color-based particle filter,”Image and Vision Computing, vol. 21, pp. 99-110, 2003.
Lee Kual-Zheng
Lin Chia-Wen
Ling Zhi-Hong
Ahmed Samir A.
Alston & Bird LLP
Fitzpatrick Atiba O
Industrial Technology Research Institute
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