Method and apparatus for tracking moving objects in pictures
AssigneeFujitsu Limited
InventorsShunsuke Kamijo, Masao Sakauchi
Life of this patent
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Abstract
Each frame of time-series pictures shot by a camera is converted to a spatial differential frame picture by the following equations: H(i, j)=Σ|G(i+di, j+dj)−G(i, j)|/(Gi,j,max/Gmax), I=Gmax/{1+exp(−0.02(H−80))}, where Σ denotes a sum over di=−1 to 1 and dj=−1 to 1, Gi,j,max denotes the maximum pixel value of 3×3 pixels having its center at the i-th row and j-th column, and Gmax denotes the assumable maximum value 255 of the pixel value G(i, j). Moving objects at a time t is discriminated based on a correlation between spatial differential frame pictures at times (t−1) and t and a discrimination result of moving objects included in the spatial differential frame picture at the time (t−1).
Claims22
A moving object tracking method of processing first time-series pictures to track moving objects therein, the method comprising the steps of:
- (a) generating second time-series pictures by converting the first time-series pictures to respective spatial differential frame pictures;
- and
- (b) discriminating moving objects at a time t2 based on a correlation between one of the spatial differential frame pictures at a time t1 adjacent to the time t2 and another of the spatial differential frame pictures at the time t2, and also based on a discrimination result of moving objects included in said one of the spatial differential frame pictures at the time t1.
A moving object tracking apparatus of processing a first time-series pictures to track moving objects therein, the apparatus comprising:
- a picture recording section for storing the first time-series pictures;
- a picture conversion section for generating second time-series pictures by converting the first time-series pictures to respective spatial differential frame pictures, and for storing the generated second time-series pictures into the picture recording section;
- and
- a picture processing section for discriminating moving objects at a time t2 based on a correlation between one of the spatial differential frame pictures at a time t1 adjacent to the time t2 and another of the spatial differential frame pictures at the time t2, and also based on a discrimination result of moving objects included in said one of the spatial differential frame pictures at the time t1.
Dependencies are inferred from the claim text.