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 ?-n...
Rotational types of motion can often be seen in video sequences. However, not a lot of research has been done to investigate rotational motion models for use in video. Analysing t...
In this paper, a novel multi-cue collaborative kernel tracking algorithm is proposed. A new constraint based on the property of cross ratio invariant enables tracking of objects i...
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
— In this paper we propose a method of realizing continuous tracking of a three-dimensional object by calculating moments of a translating and rotating object whose shape is know...