Motion Enhanced Multi-Level Tracker (MEMTrack): A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments.
Medha SawhneyBhas KarmarkarEric J. LeamanArka DawAnuj KarpatneBahareh BehkamPublished in: Adv. Intell. Syst. (2024)
Keyphrases
- low contrast
- deep learning
- robust tracking
- extended kalman filters
- tracking multiple
- tracking framework
- particle filter
- motion model
- temporal continuity
- visual tracking
- image sequences
- object tracking
- high contrast
- appearance model
- blood vessels
- fully automatic
- phase contrast
- motion analysis
- kalman filter
- machine learning
- gray level
- mean shift
- unsupervised learning
- particle filtering
- contrast enhancement
- partial occlusion
- mental models
- motion estimation
- weakly supervised
- optical flow
- moving objects
- computer vision
- motion field
- feature space
- human motion