PROCESSING METHOD FOR CODED APERTURE SENSOR
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Abstract
A method of processing for a coded aperture imaging apparatus which is useful for target identification and tracking. The method uses a statistical scene model and, preferably using several frames of data, determines a likelihood of the position and/or velocity of one or more targets assumed to be in the scene. The method preferably applies a recursive Bayesian filter or Bayesian batch filter to determine a probability distribution of likely state parameters. The method acts upon the acquired data directly without requiring any processing to form an image.
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Citations
38 Claims
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1-19. -19. (canceled)
- 20. A method of locating/detecting a target in a scene comprising the steps of taking data acquired from a detector array arranged to receive radiation from the scene via a coded aperture array, and determining a likelihood for the position of a target assumed to be located in the scene using the acquired data and a statistical scene model.
- 34. A method of inferring scene attributes comprising the step of taking data acquired from a detector array arranged to receive radiation from the scene via a coded aperture array and performing Bayesian inference on said data directly to infer said attributes.
- 37. A method of tracking a target in a scene that has been detected by an external process comprising the steps of taking several frames of data acquired from a detector array arranged to receive radiation from the scene via a coded aperture array and applying a recursive Bayesian filter to the acquired data.
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