Object Tracking by Hierarchical Decomposition of Hyperspectral Video Sequences: Application to Chemical Gas Plume Tracking.
Guillaume TochonJocelyn ChanussotMauro Dalla MuraAndrea L. BertozziPublished in: IEEE Trans. Geosci. Remote. Sens. (2017)
Keyphrases
- object tracking
- video sequences
- hyperspectral
- particle filter
- hierarchical decomposition
- appearance model
- mean shift
- kalman filter
- visual tracking
- image sequences
- moving objects
- multiple object tracking
- particle filtering
- tracking accuracy
- data association
- partial occlusion
- appearance modeling
- computer vision
- infrared
- tracking objects
- multispectral
- hyperspectral images
- robust object tracking
- remote sensing
- motion detection
- multi camera
- sparse representation
- hyperspectral imagery
- hyperspectral data
- object tracking algorithm
- robust tracking
- foreground objects
- tracked objects
- image data
- video data
- visual object tracking
- frame rate
- object appearance
- target tracking
- video camera
- satellite images
- image analysis
- object recognition
- three dimensional
- image segmentation