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 language||American English|
|State||Published - 28 Nov 2013|
|Event||Proceedings of SPIE - The International Society for Optical Engineering - |
Duration: 1 Jan 2015 → …
|Conference||Proceedings of SPIE - The International Society for Optical Engineering|
|Period||1/01/15 → …|
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