Pfinder

Pfinder is a computer vision system which detects features in video images in order to recognize human figures and their movements and gestures…

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.

2014

Races hidden in concurrent programs can lead to harmful bugs. These bugs are difficult to detect due to their non-deterministic…

2010

This paper addresses the problem of occluded human segmentation and then uses its results for human behavior recognition. To…

2009

Tracking and counting multiple humans in complex counting people in urban environments. Davies et al. (1), in situations is…

2007

Metrology, the measurement of real world metrics, has been investigated extensively in computer vision for many applications. The…

2006

Background subtraction is a commonly used approach for moving objects detection. The modeling and updating of background, the…

2004

This paper introduces a real-time model-based human motion tracking and analysis method for human computer interface (HCI). This…

2004

Ambient intelligence applications often use technologies from the computer vision research area to obtain information on its user…

2002

A new method is proposed for real-time video object segmentation from a static background under shadows and varying lighting. The…

1998

We present an experimental setup for real time face identification in a cluttered scene. Color images of people are recorded with…

1997

VisTA is an interactive visualization and simulation tool for archaeological and geographical data. The goal of the system is to…