Method for analyzing movements in temporal sequences of digital

Image analysis – Histogram processing – For setting a threshold

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

382 17, G06K 920, G06K 946, G06K 966

Patent

active

053656032

ABSTRACT:
Temporal sequences of predicted measurement data (Y), among which there are predicted movement data (W) relating to temporal sequences of digital images (I), are compared with temporal sequences of measured measurement data (S), among which there are measured movement data (V) relating to the same temporal sequences of digital images (I), by forming differences (D) from measured measurement data (S) and predicted measurement data (Y). These differences (D) are fed to a time-recursive filter (TRF) for estimating temporal sequences of state variables (X). The predicted measurement data (Y), including the predicted movement data (W) are determined from these state variables (X) with the aid of a measurement map (H). These predicted movement data (W) are used to determine (ME) measured movement data (V) relating to the temporal sequences of digital images (I). The method facilitates the determination of spatial structures and the analysis of spatial object movements, including intrinsic movement. Moving objects can be detected and segmented reliably.

REFERENCES:
patent: 4745633 (1988-05-01), Waksman et al.
patent: 5034986 (1991-07-01), Karmann et al.
"Time Recursive Motion Estimation Using Dynamical Models for Motion Prediction", by K. P. Karmann, IEEE 10th International Conference on Pattern Recognition, Atlantic City, vol. 1, Jun. 16, 1990, pp. 268-270.
"Underwater Navigation by Video Sequence Analysis", by F. Aguirre et al., IEEE 10th International Conference on Pattern Recognition, Atlantic city, vol. 2, Jun. 16, 1990, pp. 537-539.
"Direct Dynamic Motion Vision", by J. Heel, IEEE International Conference on Robotics and Automation, Cincinnati US, Proceedings, May 13, 1990, pp. 1142-1147.
"Moving Object Recognition and Classification in External Environments", by A. Mecocci, Signal Processing 18, (1989), Elsevier Science Publishers B.V., pp. 183-194.
"On the Computation of Motion from Sequences of Images-A Review", by J. K. Aggarwal, Proceeds of the IEEE, vol. 76, No. 8, Aug. 1988, pp. 917-935.
"A Differential Method for Simultaneous Estimation of Rotation, Change of Scale and Translation", by S. F. Wu et al., Signal Proceeding: Image Communication 2 (1990), Elsevier Science Publishers B.V., pp. 69-80.
"Determining Optical Flow", by B. K. P. Horn et al. Artificial Intelligence Laboratory, Cambridge, Mass. (1981) pp. 185-203.
"Moving Object Recognition Using an Adaptive Background Memory", by K. P. Karmann et al., Time-Varying Image Processing and Moving Object Recognition 2, (1990) Elsevier Science Publishers B.V., pp. 289-296.
"The Laplacian Pyramid as a Compact Image Code", by P. J. Burt et al., IEEE (1987), pp. 671-679.
"Three-Dimensional Computer Vision", by Yoshiaki Shirai, Siemens AG, 1987, pp. 85-89.
"Image Sequence Analysis for Object Tracking", by Johan Wiklund et al., Proceedings of the 5th Scand. Conf. on Image Analysis, Stockholm, Jun. 1987, pp. 641-648.
"Analyse und Interpretation von Bildfolgen" Part I, by Hans-Hellmut Nagel, Informatik-Spektrum (1985), Springer-Verlag, pp. 178-199.
"Analyse und Interpretation von Bildfolgen", Part II, by Hans-Hellmut Nagel, Informatik-Spektrum (1985), Springer-Verlag, pp. 312-327.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method for analyzing movements in temporal sequences of digital does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method for analyzing movements in temporal sequences of digital , we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for analyzing movements in temporal sequences of digital will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-1104369

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.