Robust tracking with weighted online structured learning
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Real-time compressive tracking
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Low-rank sparse learning for robust visual tracking
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Robust Visual Tracking via Structured Multi-Task Sparse Learning
International Journal of Computer Vision
Robust visual tracking with discriminative sparse learning
Pattern Recognition
An improved fisher discriminant dictionary learning for video object tracking
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Robust registration-based tracking by sparse representation with model update
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Navigation toward non-static target object using footprint detection based tracking
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Using appearance re-matching to improve real-time compressive tracking
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
An improved real-time compressive tracking method
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Classification approach based on non-negative least squares
Neurocomputing
Background modeling methods for visual detection of maritime targets
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream
Real-time visual tracking based on an appearance model and a motion mode
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
People reidentification in surveillance and forensics: A survey
ACM Computing Surveys (CSUR)
A novel particle filter with implicit dynamic model for irregular motion tracking
Machine Vision and Applications
Collaborative object tracking model with local sparse representation
Journal of Visual Communication and Image Representation
Neurocomputing
Least squares estimation-based adaptive observation model for aerial visual tracking applications
International Journal of Computational Vision and Robotics
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In this paper, we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. In this framework, occlusion, noise, and other challenging issues are addressed seamlessly through a set of trivial templates. Specifically, to find the tracking target in a new frame, each target candidate is sparsely represented in the space spanned by target templates and trivial templates. The sparsity is achieved by solving an \ell_1-regularized least-squares problem. Then, the candidate with the smallest projection error is taken as the tracking target. After that, tracking is continued using a Bayesian state inference framework. Two strategies are used to further improve the tracking performance. First, target templates are dynamically updated to capture appearance changes. Second, nonnegativity constraints are enforced to filter out clutter which negatively resembles tracking targets. We test the proposed approach on numerous sequences involving different types of challenges, including occlusion and variations in illumination, scale, and pose. The proposed approach demonstrates excellent performance in comparison with previously proposed trackers. We also extend the method for simultaneous tracking and recognition by introducing a static template set which stores target images from different classes. The recognition result at each frame is propagated to produce the final result for the whole video. The approach is validated on a vehicle tracking and classification task using outdoor infrared video sequences.