10.1007/s11263-012-0582-zInternational Journal of Computer Vision1012367-383IJCV
This paper studies the visual tracking problem in video sequences and presents a novel robust sparse...
The multi-view sparse representation based visual tracking has attracted increasing attention becaus...
The existing sparse representation-based visual trackers mostly suffer from both being time consumin...
10.1007/978-3-642-33783-3_34Lecture Notes in Computer Science (including subseries Lecture Notes in ...
Combining multiple observation views has proven beneficial for tracking. In this paper, we cast trac...
Robust visual tracking plays an important role in many applications such as security surveillance, h...
Combining multiple observation views has proven bene-ficial for tracking. In this paper, we cast tra...
Abstract—In this paper, we propose a discriminative multi-task sparse learning scheme for object tra...
The ℓ1 tracker obtains robustness by seeking a sparse representation of the tracking object via ℓ1 n...
In this paper, a robust visual tracking method is proposed based on local spatial sparse representat...
Sparse representation has been popular in visual tracking recently for its robustness and accuracy....
In this paper, we propose a discriminative multitask sparse learning scheme for object tracking in a...
This paper proposes a new visual tracking method by constructing the robust appearance model of the ...
Low rank subspace and multi-task learning have been introduced into object tracking to pursuit the a...
Object tracking is a challenging issue in computer vision and it has been studied by numerous rese...
This paper studies the visual tracking problem in video sequences and presents a novel robust sparse...
The multi-view sparse representation based visual tracking has attracted increasing attention becaus...
The existing sparse representation-based visual trackers mostly suffer from both being time consumin...
10.1007/978-3-642-33783-3_34Lecture Notes in Computer Science (including subseries Lecture Notes in ...
Combining multiple observation views has proven beneficial for tracking. In this paper, we cast trac...
Robust visual tracking plays an important role in many applications such as security surveillance, h...
Combining multiple observation views has proven bene-ficial for tracking. In this paper, we cast tra...
Abstract—In this paper, we propose a discriminative multi-task sparse learning scheme for object tra...
The ℓ1 tracker obtains robustness by seeking a sparse representation of the tracking object via ℓ1 n...
In this paper, a robust visual tracking method is proposed based on local spatial sparse representat...
Sparse representation has been popular in visual tracking recently for its robustness and accuracy....
In this paper, we propose a discriminative multitask sparse learning scheme for object tracking in a...
This paper proposes a new visual tracking method by constructing the robust appearance model of the ...
Low rank subspace and multi-task learning have been introduced into object tracking to pursuit the a...
Object tracking is a challenging issue in computer vision and it has been studied by numerous rese...
This paper studies the visual tracking problem in video sequences and presents a novel robust sparse...
The multi-view sparse representation based visual tracking has attracted increasing attention becaus...
The existing sparse representation-based visual trackers mostly suffer from both being time consumin...
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