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Data Mining: Applying Centroid Based Adjustment To Kernel Based Object Tracking For Improving Localization, Rashid Mehmood, Muhammad Usman Ali, Imtiaz A. Taj
Data Mining: Applying Centroid Based Adjustment To Kernel Based Object Tracking For Improving Localization, Rashid Mehmood, Muhammad Usman Ali, Imtiaz A. Taj
International Conference on Information and Communication Technologies
In recent studies kernel based object tracking (KBOT) using Bhattacharya coefficient as similarity measure is shown to be robust and efficient object tracking technique. Image histogram provides a compact summarization of the distribution of data in an image. Due to computational efficiency; histogram has been successfully applied in KBOT based tracking algorithms. However without spatial or shape information, similar objects of different color may be indistinguishable based solely on histogram comparisons. The application of meanshift algorithm (the core of KBOT) on 1-D low level features of histogram may converge to false local maxima and cause inaccuracy of target localization. In …