Segmentation of individual actions from a stream of human motion is an open problem in computer vision. This paper approaches the problem of segmenting higher-level activities int...
Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, G...
We present a novel representation of cyclic human locomotion based on a set of spatio-temporal curves of tracked points on the surface of a person. We start by extracting a set of...
We propose and evaluate a method for the recognition of airborne fungi spores. We suggest a case-based object-recognition method to identify spores in a digital microscopic image. ...
In this paper, we present an approach to interpret handwritten digit strings by employing a two-stage segmentation and recognition scheme. The first stage processing is to deal wi...
Gyeonghwan Kim, Seon-Hwa Jeong, Sungwon Park, Yunh...
This paper presents a method to represent two-person interactions at a semantic level with a natural language description. A human interaction is composed of two singleperson acti...
This paper proposes a unified approach for initializing, detecting and tracking of multiple moving objects. Object initialization is achieved through novel seed selection which is...
Coded structured light is an optical technique based on active stereovision that obtains the shape of objects. Oneshot techniques are based on projecting a unique light pattern wi...
The Generalized Local Discriminant Bases (GLDB) algorithm proposed by Kumar, Ghosh and Crawford in [4], is a effective feature extraction method for spectral data. It identifies g...
It is natural in a visual search to look at any object that is similar to the target so that it can be recognised and a decision made to end the search. Eye tracking technology of...