Add to ORKGThis paper presents a novel object tracking method which uses lifting wavelet filters. Our method is based on succe-sive learning of free parameters in a lifting filter. To realize fast learning, the free parameters are determined by solving some minimization problems using Lagrange method. The filter learned for the object in the previous frame is used as an initial filter of a new lifting filter to be learned for the ob-ject in the present frame. In simulation, human right eye in a sequance of images is tracked accurately by our method. 1
Robust visual tracking is a significant and challenging issue in computer vision-related research fi...
A new robust visual tracking algorithm, based on Transfer Adaptive Boosting, is proposed in this pap...
Abstract:- In this paper, we propose a new content-based image retrieval system based on lifting wav...
This paper presents a novel object tracking method which uses lifting wavelet filters. Our method is...
This paper presents a fast object tracking algorithm us-ing lifting wavelet filters. The algorithm s...
A fast objects detecting method is proposed, which is based on the variance-maximization learning of...
Abstract — in this paper, we propose a new technique in wavelet domain for real time object detectio...
In this paper, a novel algorithm for moving object tracking based on position vectors has proposed. ...
A method for object tracking in motion blurred images is proposed in this article. This paper shows ...
We propose to use adaptive wavelet lifting for image retrieval systems that are based on shape detec...
This paper presents a cognitive vision system based on the learning of lifting wavelets. The learnin...
This paper proposes a novel method for identifying persons by multiresolution analysis of lifting dy...
We present a multiresolution adaptivewavelet transform to locate small low-contrast targets. Our app...
This paper proposes a new method for identifying persons by multiband lifting dyadic wavelet filters...
Object tracking with robust scale estimation is a challenging task in computer vision. This paper pr...
Robust visual tracking is a significant and challenging issue in computer vision-related research fi...
A new robust visual tracking algorithm, based on Transfer Adaptive Boosting, is proposed in this pap...
Abstract:- In this paper, we propose a new content-based image retrieval system based on lifting wav...
This paper presents a novel object tracking method which uses lifting wavelet filters. Our method is...
This paper presents a fast object tracking algorithm us-ing lifting wavelet filters. The algorithm s...
A fast objects detecting method is proposed, which is based on the variance-maximization learning of...
Abstract — in this paper, we propose a new technique in wavelet domain for real time object detectio...
In this paper, a novel algorithm for moving object tracking based on position vectors has proposed. ...
A method for object tracking in motion blurred images is proposed in this article. This paper shows ...
We propose to use adaptive wavelet lifting for image retrieval systems that are based on shape detec...
This paper presents a cognitive vision system based on the learning of lifting wavelets. The learnin...
This paper proposes a novel method for identifying persons by multiresolution analysis of lifting dy...
We present a multiresolution adaptivewavelet transform to locate small low-contrast targets. Our app...
This paper proposes a new method for identifying persons by multiband lifting dyadic wavelet filters...
Object tracking with robust scale estimation is a challenging task in computer vision. This paper pr...
Robust visual tracking is a significant and challenging issue in computer vision-related research fi...
A new robust visual tracking algorithm, based on Transfer Adaptive Boosting, is proposed in this pap...
Abstract:- In this paper, we propose a new content-based image retrieval system based on lifting wav...