AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
Learning dominant motion patterns or activities from a video is an important surveillance problem, especially in crowded environments like markets, subways etc., where tracking of...
This paper introduces a novel approach for the recognition of a wide vocabulary of Arabic handwritten words. Note that there is an essential difference between the global and anal...
Many current object class models build on visual parts that constitute an object. However, visually different entities may actually refer to the same object part. This may be harm...
In this paper, we propose a method to estimate the 3D human posture from monocular image without using the markers. A 3D human body is expressed by a multi-joint model, and a set ...
In this paper, we propose a new nonlinear dimensionality reduction algorithm by adopting regularized least-square criterion on local areas of the data distribution. We first propo...
In this paper, we present a keyframe-based human motion capture data retrieval system which uses a wooden doll as the input device. A user inputs a keyframe by posing an artist...
Bolan Jiang, James Davis, Prabath Gunawardane, Tie...
This paper proposes a method to obtain frontoparallel (side-view) body part trajectories for a walk observed from an arbitrary view. The method is based on homography transformati...
Video surveillance systems produce huge amounts of data for storage and display. Long-term human monitoring of the acquired video is impractical and ineffective. Automatic abnorma...
Five image segmentation algorithms are evaluated: mean shift, normalised cuts, efficient graph-based segmentation, hierarchical watershed, and waterfall. The evaluation is done us...