Performance Evaluation of Bio-Inspired based Visual Tracking Algorithm

In computer vision, visual tracking becomes a significant task alongwith it remains critical for various vision applications and challenges. Even though various focuses have been already given over the researches for appearance models, but those attentions are not so much. It is assuming to be a procedure for searching the target. In this paper, we made an attempt to compare the performance of two efficient tracking methods namely BA and firefly algorithm (FA). These two algorithms are discussed and validated on different scenarios in terms of various measures. The comparative outcomes depict which the BA-based tracker exhibit better results than the other trackers. And, it is efficient powerful tracking methodology. The future work will be more proficient in feature selection algorithms with targets tracking with multiple in the BA-based tracking system.