Robust visual tracking via online multiple instance learning with Fisher information
An MIL tracker via Fisher information criterion is proposed that selects much more effective features. An efficient approach is proposed to optimize our Fisher information criterion objective function. Our tracker yields much stable and faster results (5 times in MATLAB) than MIL tracker (implemented in C++).
multiple instance learning fisher information tracking by detection