A survey on leveraging deep neural networks for object tracking.
Sebastian KrebsBharanidhar DuraisamyFabian FlohrPublished in: ITSC (2017)
Keyphrases
- object tracking
- neural network
- particle filter
- mean shift
- video sequences
- appearance model
- image sequences
- moving objects
- kalman filter
- video surveillance
- multi camera
- sparse representation
- robust object tracking
- multiple object tracking
- video surveillance systems
- multiple cameras
- particle filtering
- partial occlusion
- visual tracking
- pattern recognition
- computer vision
- data association
- scene segmentation
- visual object tracking
- vehicle tracking
- illumination variations
- robust tracking
- appearance modeling
- tracking objects
- tracking accuracy
- object appearance
- camera calibration
- tracked objects
- learning algorithm
- consistent labeling
- machine learning