An improved algorithmofmedian flow for visual object tracking and its implementation on TI OMAP

An improved algorithm of median flow used for visual object tracking is described. The improvement consists in adaptive selection of aperture window size and number of pyramid levels at optical flow estimation. It can increase the tracking efficiency as compared to the basic algorithm, especially when dealing with small objects. The proposed version of the algorithm has been realized with the aid of OpenCV library and tested on OMAP35x EVM and BeagleBoard-xM based on Texas Instruments OMAP3530 and DM3730 processors respectively. Analysis of improved median flow was performed over actual video sequences. The results obtained show versatility and computational robustness of the algorithm, which makes it promising for embedded application based on ARM processors.