Abstract
In this paper we propose a robust
object tracking algorithm using a collaborative model.
As the main challenge for object
tracking is to account for drastic appearance change, we propose a robust
appearance model that exploits both holistic templates and local
representations.
We develop a sparsity-based
discriminative classifier (SDC) and a sparsity-based
generative model (SGM). In the SDC module, we introduce an effective method to
compute the confidence value that assigns more weights to the foreground than
the background. In the SGM module, we propose a novel histogram-based method
that takes the spatial information of each patch into consideration with an
occlusion handing scheme.
Furthermore, the update scheme
considers both the latest observations and the original template, thereby
enabling the tracker to deal with appearance change effectively and alleviate
the drift problem.
Numerous experiments on various
challenging videos demonstrate that the proposed tracker performs favorably
against several state-of-the-art algorithms.
Early Results
Robust Object Tracking via Sparsity-based
Collaborative Model
Wei Zhong, Huchuan
Lu, Ming-Hsuan Yang.
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012)，Providence, Rhode Island, [PDF][CODE][DATA].
Results and Datasets
animal
[Download data (zip)] [Precision plot] This
sequence is from Kwon
et al. |
|
board
[Download data (zip)] [Precision plot] This
sequence is from Santner et al. |
|
car11
[Download data (zip)] [Precision plot] This
Sequence is from Ross et al. |
|
caviar
[Download data (zip)] [Precision plot] This
sequence is from CAVIAR. |
|
faceocc2
[Download data (zip)] [Precision plot] This
sequence is from Babenko et al. |
|
girl
[Download data (zip)] [Precision plot] This
sequence is from Babenko et al. |
|
jumping
[Download data (zip)] [Precision plot] This
sequence is from Kalal et al. |
|
shaking
[Download data (zip)] [Precision plot] This
sequence is from Kwon
et al. |
|
singer1
[Download data (zip)] [Precision plot] This
sequence is from Kwon
et al. |
|
panda
[Download data (zip)] [Precision plot] This
sequence is from our own |
|
stone
[Download data (zip)] [Precision plot] This
sequence is from our own |