Abstract: Object tracking is a critical task in surveillance and activity analysis. One main issue in tracking is illumination variation.
In this paper, we focus on tracking when there are changes in light condition and propose a modification to the meanshift (MS) algorithm. The MS algorithm and ...
A quadratic robust tracking problem is solved using a polynomial matrix approach. Because of the possibly unstable mode of the control sequence we propose a new ...
Abstract—Object tracking is a critical task in surveillance and activity analysis. One main issue in tracking is illumination variation.
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To address this issue, we propose a robust tracking algorithm based on discriminative projective non-negative matrix factorization and a robust inter-frame ...
Gargi Phadke , Rajbabu Velmurugan, Shubham Dawande: Non-negative matrix factorization based illumination robust meanshift tracking. NCC 2017: 1-6.
Another method to separate illuminance and reflectance is using non-negative matrix factorisation (NMF) with sparseness constraints [15] . In [16] authors ...
Non-negative matrix factorization based illumination robust meanshift tracking. G Phadke, R Velmurugan, S Dawande. 2017 Twenty-third National Conference on ...
One of the major issues in visual target tracking is variation in illumination. In this paper, we propose an improved weighted histogram approach for mean shift ...
Implements the low-rank and sparse non-negative matrix factorization proposed in the above paper. Through a suitable choice of the parameter beta, several ...
Missing: illumination meanshift