Optical Fourier processor and point-diffraction interferometer for moving-object trajectory estimation.

  title={Optical Fourier processor and point-diffraction interferometer for moving-object trajectory estimation.},
  author={Pierre M. Lane and Michael {\vC}ada},
  journal={Applied optics},
  volume={38 20},
A hybrid optical-digital signal processing system that estimates the trajectory of moving targets in a two-dimensional field at video frame rates was developed and constructed. The hybrid system is particularly well suited to the trajectory estimation of small, barely discernable, moving objects of unknown position and velocity in high-resolution image sequences. The system uses an optical Fourier processor and a point-diffraction interferometer to calculate the frequency-domain representation… 
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In the method, time-delay-modulated range-gated viewing with multiple exposures is presented so that the time evolution of object trajectories free from background interference is directly given without complicated image processing and the motion parameters of objects can be estimated.
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A vision system that estimates the trajectory (velocity and direction) of moving targets in a 2D field at video frame rates has been developed and constructed. The system uses an optical Fourier
Moving object detection and trajectory estimation in the transform/spatiotemporal mixed domain
  • K. S. Knudsen, L. Bruton
  • Physics, Mathematics
    [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing
  • 1992
A novel discrete transform/spatiotemporal mixed domain, or MixeD, moving object detection and trajectory estimation algorithm is introduced that is able to discriminate several moving objects in an image sequence, and to provide accurate estimates of their trajectories.
A new technique for velocity estimation of large moving objects
This technique is based on analyzing the Hartley transform spectrum of the image sequence directly, instead of using it to compute other transforms, and is faster than other techniques based on the Fourier transform.
The enhancement and tracking of moving objects in digital images using adaptive three-dimensional recursive filters
Experimental evidence is provided showing the effectiveness of the adaptive filter control system in locating, tracking and enhancing objects in images containing other objects and high levels of noise.
Recognition and velocity computation of large moving objects in images
Analytical formulations for large moving objects in a time sequence with zero background are presented and an algorithm is given for velocity formulation.
Moving object nonlinear trajectory estimation in the transform/spatiotemporal mixed domain
  • K. S. Knudsen, L. Bruton
  • Mathematics, Engineering
    [Proceedings] 1992 IEEE International Symposium on Circuits and Systems
  • 1992
Presents a discrete transform/spatiotemporal mixed domain nonlinear trajectory estimation algorithm. The trajectory of an object moving in an image sequence is modeled by quadratic polynomials. The
Computer Tracking of Moving Point Targets in Space
  • N. C. Mohanty
  • Physics
    IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 1981
An adaptive algorithm based on the maximum likelihood ratio is described in this correspondence. The algorithm detects low-intensity targets and tracks their paths. The charged-coupled device (CCD)
Application of Three-Dimensional Filtering to Moving Target Detection
It is shown that the problem of tracking a target having a fixed velocity can be cast into a general framework of three-dimensional filter theory and the design of these filters is presented, taking into account the target, clutter, and optical detection models.
The detection of unresolved targets using the Hough Transform
A Frequency Domain Algorithm for Multiframe Detection and Estimation of Dim Targets
An algorithm for detecting moving targets by imaging sensors and estimating their trajectories using directional filtering in the frequency domain, using a bank of filters for all possible target directions, resulting in an improved signal-to-noise ratio.