Spatially supervised recurrent convolutional neural networks for visual object tracking.
Guanghan NingZhi ZhangChen HuangXiaobo RenHaohong WangCanhui CaiZhihai HePublished in: ISCAS (2017)
Keyphrases
- convolutional neural networks
- visual object tracking
- multiple instance learning
- mean shift
- object tracking
- convolutional network
- supervised learning
- feature selection
- learning algorithm
- semi supervised
- unsupervised learning
- feed forward
- recurrent neural networks
- computer vision
- image processing
- unsupervised methods
- machine learning
- particle filter