Login / Signup
Improving Object Tracking Accuracy in Video Sequences Subject to Noise and Occlusion Impediments by Combining Feature Tracking with Kalman Filtering.
Mark Heimbach
Kamak Ebadi
Sally L. Wood
Published in:
ACSSC (2018)
Keyphrases
</>
kalman filtering
object tracking
kalman filter
video sequences
partial occlusion
particle filtering
particle filter
tracking framework
image sequences
mean shift
moving objects
visual tracking
structure from motion
appearance model
video surveillance
motion estimation
computer vision
multi camera
video camera
optical flow
motion detection
motion segmentation
multiple cameras
missing data
sparse representation
body parts
viewpoint
markov random field
motion vectors
surveillance system
dynamic scenes
human motion
motion model
moving camera
ground plane
feature extraction