Object tracking under nonuniform illumination with adaptive correlation filtering

Kenia Picos, Víctor H. Díaz-Ramírez, Vitaly Kober

Research output: Contribution to conferencePaper

Abstract

A real-time system for illumination-invariant object tracking is proposed. The system is able to estimate at high-rate the position of a moving target in an input scene when is corrupted by the presence of a high cluttering background and nonuniform illumination. The position of the target is estimated with the help of a filter bank of space-variant correlation filters. The filters in the bank, adapt their parameters according to the local statistical parameters of the observed scene in a small region centered at coordinates of a predicted position for the target in each frame. The prediction is carried out by exploiting information of present and past frames, and by using a dynamic motion model of the target in a two-dimensional plane. Computer simulation results obtained with the proposed system are presented and discussed in terms of tracking accuracy, computational complexity, and tolerance to nonuniform illumination.
Original languageAmerican English
DOIs
StatePublished - 28 Nov 2013
EventProceedings of SPIE - The International Society for Optical Engineering -
Duration: 1 Jan 2015 → …

Conference

ConferenceProceedings of SPIE - The International Society for Optical Engineering
Period1/01/15 → …

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Picos, K., Díaz-Ramírez, V. H., & Kober, V. (2013). Object tracking under nonuniform illumination with adaptive correlation filtering. Paper presented at Proceedings of SPIE - The International Society for Optical Engineering, . https://doi.org/10.1117/12.2024698