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...
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorpor...
Bonnie K. Ray, Hisashi Kashima, Jianying Hu, Monin...
The aim of this study is to apply a state-of-the-art speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech em...
This paper p'VlJOses a /lew meThod for incoherent lIlotion recognitioll from video sequences. We use time-series ~pariQ-lempora/illlensity gradients within a space-rime patch...
This paper describes a method of part-based gait identification under substantial clothes variations. When clothes types between a gallery and a probe are different, silhouettes f...
Md. Altab Hossain, Wang Junqui, Yasushi Makihara, ...
We propose a method of shot boundary detection based on the co-occurrence of global motion in video stream. In addition to the conventional features based on appearance and local ...