Handcrafted and deep trackers: Recent visual object tracking approaches and trends
In recent years, visual object tracking has become a very active research area. An
increasing number of tracking algorithms are being proposed each year. It is because …
increasing number of tracking algorithms are being proposed each year. It is because …
Siamrpn++: Evolution of siamese visual tracking with very deep networks
Siamese network based trackers formulate tracking as convolutional feature cross-
correlation between target template and searching region. However, Siamese trackers still …
correlation between target template and searching region. However, Siamese trackers still …
Learning attentions: residual attentional siamese network for high performance online visual tracking
Offline training for object tracking has recently shown great potentials in balancing tracking
accuracy and speed. However, it is still difficult to adapt an offline trained model to a target …
accuracy and speed. However, it is still difficult to adapt an offline trained model to a target …
3d siamese transformer network for single object tracking on point clouds
Siamese network based trackers formulate 3D single object tracking as cross-correlation
learning between point features of a template and a search area. Due to the large …
learning between point features of a template and a search area. Due to the large …
Modeling and propagating cnns in a tree structure for visual tracking
We present an online visual tracking algorithm by managing multiple target appearance
models in a tree structure. The proposed algorithm employs Convolutional Neural Networks …
models in a tree structure. The proposed algorithm employs Convolutional Neural Networks …
Learning multi-task correlation particle filters for visual tracking
In this paper, we propose a multi-task correlation particle filter (MCPF) for robust visual
tracking. We first present the multi-task correlation filter (MCF) that takes the …
tracking. We first present the multi-task correlation filter (MCF) that takes the …
Robust estimation of similarity transformation for visual object tracking
Most of existing correlation filter-based tracking approaches only estimate simple axis-
aligned bounding boxes, and very few of them is capable of recovering the underlying …
aligned bounding boxes, and very few of them is capable of recovering the underlying …
Towards a better match in siamese network based visual object tracker
Recently, Siamesenetworkbasedtrackershavereceive… interest for their fast tracking speed
and high performance. Despite the great success, this tracking framework still suffers from …
and high performance. Despite the great success, this tracking framework still suffers from …
Robust object tracking based on temporal and spatial deep networks
Recently deep neural networks have been widely employed to deal with the visual tracking
problem. In this work, we present a new deep architecture which incorporates the temporal …
problem. In this work, we present a new deep architecture which incorporates the temporal …
TRBACF: Learning temporal regularized correlation filters for high performance online visual object tracking
Correlation filter-based trackers (CFTs) have recently shown remarkable performance in the
field of visual object tracking. The advantage of these trackers originates from their ability to …
field of visual object tracking. The advantage of these trackers originates from their ability to …