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Robot motion estimate gives us the rough location of overlapping area for consecutive frames.
For consecutive frames, a false alarm suppression is conducted on account of differences of motion features between moving target and false alarms to improve detection accuracy again.
Measuring the euclidean distance for accumulator maxima for consecutive frames,, was found to broadly give low values during rotation and higher values during nonrotation.
A history index is kept that contains the series of decisions made by the system regarding n intervals with duration of t seconds, where each duration depends on the outcome of the matching process, that is, when the system predicts the same class for consecutive frames, these specific frames then comprise one audio sequence while a new sequence is formed when the prediction changes.
The resulting time series was segmented with MotionTracking as described above, individual objects were tracked for consecutive frames, and the fluorescence intensity of every endosome between two consecutive frames was subtracted to build the ΔIntensity distribution.
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Locomotor activity levels were recorded with a webcam, and assessed using custom-written software (MATLAB vR2007a, MathWorks, MA, USA) that detected thresholded pixel differences for pairs of consecutive frames and then calculated the summed activity scores for each 5-s epoch over the 4-h recording duration (2880 epochs per rat).
As stated in [4], the FS 3D format has better properties in the sense of variability than the MV 3D format, but with frame aggregation (for a pair of consecutive frames, or for 16 consecutive frames - one GoP) video sequences show better performance in the variability for both of the formats, especially for MV 3D that becomes similar to FS.
Finally, tracked features which have not matched with any observations for a number of consecutive frames (typically chosen between three and five) are discarded.
The sleep percentages decrease as the threshold increases because the MS will be unable to enter sleep mode if the number of consecutive frames for sleep is less than the specified threshold following radio resource allocation.
Furthermore, a target is considered as lost and the track is deleted if no measurements are associated to the track for a number of consecutive frames, or the state covariance is too large.
Given a sequence of m frames ={I 1,I 2,…,I m }, let ϕ= a,b) T be the optical flow for a pair of consecutive frames I i,I i+1, i=1,2,…,m−1, being such frame pre-smoothed using a Gaussian filter with parameter σ.
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