CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras.
Yabin ZhuXiao WangChenglong LiBo JiangLin ZhuZhixiang HuangYonghong TianJin TangPublished in: CoRR (2024)
Keyphrases
- object tracking
- multiple cameras
- multi camera
- camera views
- tracking objects
- video sequences
- consistent labeling
- video surveillance
- particle filter
- image sequences
- tracked objects
- video frames
- video objects
- mean shift
- kalman filter
- appearance model
- computer vision
- moving camera
- event detection
- frame rate
- sparse representation
- visual tracking
- camera network
- moving objects
- partial occlusion
- surveillance system
- particle filtering
- robust object tracking
- robust tracking
- low resolution
- appearance modeling
- multiple object tracking
- high resolution
- surveillance cameras
- field of view
- state space
- camera calibration
- pattern recognition
- super resolution
- machine learning