Localisation and tracking of multiple unknown objects in real environments

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Localisation and tracking of multiple unknown objects in real environments

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The Letter presents a real-time surveillance system able to localise and track multiple unknown objects (e.g. trunks, trash compactors, etc.) moving simultaneously in a sanitary landfill. Elementary features of moving image areas are used for object localisation, and a network of extended Kalman filters is applied for multiple object tracking.

Inspec keywords: real-time systems; surveillance; image recognition; motion estimation; waste disposal; tracking filters; Kalman filters

Other keywords: image processing; real-time surveillance; object localisation; sanitary landfill; moving image areas; trunks; multiple object tracking; real environments; extended Kalman filters; trash compactors

Subjects: Environmental issues; Computer vision and image processing techniques; Control applications in other industries; Industrial applications of IT; Pattern recognition; Filters and other networks; Computing in other engineering fields; Optical information, image and video signal processing

References

    1. 1)
      • Foresti, G.L., Regazzoni, C.S.: `A visual surveillance system for autonomous risk avoidance', Proc. 7th EUSIPCO, 13–16 September 1994, Edinburgh, Scotland, p. 1369–1372.
    2. 2)
      • G. Foresti , P. Matteucci , C.S. Regazzoni . A real-time approach to 3D object tracking in complex scenes. Electron. Lett. , 6 , 475 - 477
    3. 3)
      • G.L. Foresti , V. Murino . A real-time image processing system for visual inspection of real environments. Int. J. Commun. , 61 - 64
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19950266
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