Kernel-based method for tracking objects with rotation and translation
Haihong Zhang,Zhiyong Huang,Weimin Huang,Liyuan Li +3 more
- Vol. 2, pp 728-731
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TLDR
This paper addresses the issue of tracking translation and rotation simultaneously by starting with a kernel-based spatial-spectral model for object representation, and derive a new formulation to the tracking of translational and rotational object.Abstract:
This paper addresses the issue of tracking translation and rotation simultaneously. Starting with a kernel-based spatial-spectral model for object representation, we define an l/sub 2/-norm similarity measure between the target object and the observation, and derive a new formulation to the tracking of translational and rotational object. Based on the tracking formulation, an iterative procedure is proposed. We also develop an adaptive kernel model to cope with varying appearance. Experimental results are presented for both synthetic data and real-world traffic video.read more
Citations
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A spatial-color mean-shift object tracking algorithm with scale and orientation estimation
TL;DR: An enhanced mean-shift tracking algorithm using joint spatial-color feature and a novel similarity measure function is proposed and the experimental results show that the new similarity-based tracking algorithms can be implemented in real-time and are able to track the moving object with an automatic update of the orientation and scale changes.
Proceedings ArticleDOI
Tunable Kernels for Tracking
TL;DR: A tunable representation for tracking that simultaneously encodes appearance and geometry in a manner that enables the use of mean-shift iterations for tracking and yet retains robustness to spatial deformations and feature density variations.
Journal ArticleDOI
Joint Feature Correspondences and Appearance Similarity for Robust Visual Object Tracking
TL;DR: A novel visual object tracking scheme is proposed by using joint point feature correspondences and object appearance similarity that has yielded a marked improvement in terms of tracking drift, tightness, and accuracy of tracked bounding boxes, especially for complex video scenarios containing long-term partial occlusions or intersections, deformation, or background clutter.
Proceedings ArticleDOI
Kernel-based head tracker for videophony
TL;DR: An approach for automatically segmenting and tracking a face in a sequence of color images is presented, using a geometric transformation enabling the rotation, scaling, and translation of the target, and an affine illumination change model.
Proceedings ArticleDOI
A new spatial-color mean-shift object tracking algorithm with scale and orientation estimation
Chung-Wei Juan,Jwu-Sheng Hu +1 more
TL;DR: The experimental results show that the new similarity-based tracking algorithms can be implemented in real-time and are able to track the moving object with an automatic update of the orientation and scale.
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