Using a configurable integrated sensing and processing imager to track multiple targets

Ioannis Kyriakides, Darryl Morrell, Antonia Papandreou-Suppappola

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


On-line processing of data from video sequences is impeded by the need to process the large amount of data acquired by the image sensor Appropriate processing onboard of the sensor can, however, reduce the data transmitted and processed by the tracker. In this paper, we use video sequences from an integrated sensing and processing (ISP) imager to track a variable number of targets; the imager is configured to select and filter data before transmission. The sensor configuration allows selection of (a) pixel blocks to be acquired and (b) filtering operations to be performed on the acquired blocks. We develop a configuration strategy using a particle filter to direct the acquisition and filtering. To track an unknown number of targets, we implement a multi-target tracker using a track-before-detect method. We demonstrate using simulations that the ISP approach reduces the data transmitted to the tracker without loss in tracking performance when compared to traditional sensing systems.

Original languageEnglish
Title of host publication2008 IEEE Aerospace Conference, AC
Publication statusPublished - 2008
Event2008 IEEE Aerospace Conference, AC - Big Sky, MT, United States
Duration: 1 Mar 20088 Mar 2008


Other2008 IEEE Aerospace Conference, AC
Country/TerritoryUnited States
CityBig Sky, MT


  • Monte Carlo methods
  • Particle filtering
  • Tracking
  • Transform imaging


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