Fusing two-stream convolutional neural networks for RGB-T object tracking.
Chenglong LiXiaohao WuNan ZhaoXiaochun CaoJin TangPublished in: Neurocomputing (2018)
Keyphrases
- object tracking
- convolutional neural networks
- convolutional network
- image sequences
- particle filter
- mean shift
- kalman filter
- appearance model
- video sequences
- video surveillance
- moving objects
- computer vision
- multi camera
- multiple cameras
- color images
- appearance modeling
- visual tracking
- color space
- color information
- particle filtering
- tracking accuracy
- tracking objects
- robust object tracking
- partial occlusion
- video surveillance systems
- visual object tracking
- markov random field
- sparse representation
- robust tracking
- three dimensional
- machine learning
- data sets
- multiple object tracking
- higher order