Improved SiamRPN++ with Clustering-Based Frame Differencing for Object Tracking of Remote Sensing Videos.
Jie FengBingyu HuiYuping LiangQuanhe YaoXiangrong ZhangPublished in: IGARSS (2021)
Keyphrases
- remote sensing
- object tracking
- video surveillance
- video sequences
- motion detection
- moving objects
- image analysis
- particle filter
- image processing
- mean shift
- image fusion
- image sequences
- computer vision
- kalman filter
- appearance model
- high resolution
- surveillance system
- space time
- multi camera
- tracking objects
- visual surveillance
- multiple cameras
- video frames
- moving camera
- sparse representation
- video data
- background subtraction
- pattern recognition
- motion estimation