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 ...
In this paper we present preliminary work implementing dynamic privacy in public surveillance. The aim is to maximise the privacy of those under surveillance, while giving an obse...
Simon Moncrieff, Svetha Venkatesh, Geoff A. W. Wes...
We consider the problem of classification when multiple observations of a pattern are available, possibly under different transformations. We view this problem as a special case o...
Background subtraction is a popular technique in video surveillance. In order to use it, a background model must be built and updated according to light and scenario changes. We d...
Juan Alfonso Rosell Ortega, Gabriela Andreu Garc&i...
This paper reports a statistical script identification technique that determines the script of document images, especially camera-based images which suffer from perspective distor...