  Studies on the dynamics of solar filaments have significant implications for
understanding their formation, evolution, and eruption, which are of great
importance for space weather warning and forecasting. The H$\alpha$ Imaging
Spectrograph (HIS) onboard the recently launched Chinese H$\alpha$ Solar
Explorer (CHASE) can provide full-disk solar H$\alpha$ spectroscopic
observations, which bring us an opportunity to systematically explore and
analyze the plasma dynamics of filaments. The dramatically increased
observation data require automate processing and analysis which are impossible
if dealt with manually. In this paper, we utilize the U-Net model to identify
filaments and implement the Channel and Spatial Reliability Tracking (CSRT)
algorithm for automated filament tracking. In addition, we use the cloud model
to invert the line-of-sight velocity of filaments and employ the graph theory
algorithm to extract the filament spine, which can advance our understanding of
the dynamics of filaments. The favorable test performance confirms the validity
of our method, which will be implemented in the following statistical analyses
of filament features and dynamics of CHASE/HIS observations.
