Extracting Axial Depth and Trajectory Trend Using Astigmatism, Gaussian Fitting, and CNNs for Protein Tracking.
Kristofer delas PeñasMariia DmitrievaJoël LefebvreHelen L. ZennerEdward AllgeyerMartin BoothDaniel St JohnstonJens RittscherPublished in: ISBI (2020)
Keyphrases
- particle filter
- real time
- object tracking
- depth data
- kalman filter
- depth map
- visual tracking
- protein sequences
- protein structure prediction
- neural network
- physically plausible
- dead end
- trajectory data
- particle filtering
- motion model
- three dimensional
- depth information
- high throughput
- motion trajectories
- articulated objects
- least squares
- cellular neural networks
- video sequences
- object trajectories
- computer vision
- vehicle trajectory