Abstract: A method of automatically detecting and tracking successive frames in a region of interesting by an electronic imaging device includes: decomposing a frame into intensity, color and direction features according to human perceptions; filtering an input image by a Gaussian pyramid to obtain levels of pyramid representations by down sampling; calculating the features of pyramid representations; using a linear center-surround operator similar to a biological perception to expedite the calculation of a mean value of the peripheral region; using the difference of each feature between a small central region and the peripheral region as a measured value; overlaying the pyramid feature maps to obtain a conspicuity map and unify the conspicuity maps of the three features; obtaining a saliency map of the frames by linear combination; and using the saliency map for a segmentation to mark an interesting region of a frame in the large region of the conspicuity maps.

Abstract: A method of automatically detecting and tracking successive frames in a region of interesting by an electronic imaging device includes: decomposing a frame into intensity, color and direction features according to human perceptions; filtering an input image by a Gaussian pyramid to obtain levels of pyramid representations by down sampling; calculating the features of pyramid representations; using a linear center-surround operator similar to a biological perception to expedite the calculation of a mean value of the peripheral region; using the difference of each feature between a small central region and the peripheral region as a measured value; overlaying the pyramid feature maps to obtain a conspicuity map and unify the conspicuity maps of the three features; obtaining a saliency map of the frames by linear combination; and using the saliency map for a segmentation to mark an interesting region of a frame in the large region of the conspicuity maps.