Improved median flow algorithm for visual object tracking on video sequences
The improvements of a median flow algorithm, which meant for visual object tracking, are considered. The improvements consist in adaptive selection of aperture size, number of pyramid levels and locations of points used during the sparse optical flow estimation. This permits to increase the efficiency of tracking as compared with the basic algorithm, especially when dealing with small objects. Analysis of improved median flow was performed on real video sequences. The obtained results showed the versatility, robustness and moderate computational demands of the algorithm, which makes it promising for application in embedded systems.