A survey of advances in vision-based human motion capture and analysis

TB Moeslund, A Hilton, V Krüger - Computer vision and image …, 2006 - Elsevier
This survey reviews advances in human motion capture and analysis from 2000 to 2006,
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …

A survey of computer vision-based human motion capture

TB Moeslund, E Granum - Computer vision and image understanding, 2001 - Elsevier
A comprehensive survey of computer vision-based human motion capture literature from the
past two decades is presented. The focus is on a general overview based on a taxonomy of …

Automatic visual detection of human behavior: A review from 2000 to 2014

P Afsar, P Cortez, H Santos - Expert Systems with Applications, 2015 - Elsevier
Due to advances in information technology (eg, digital video cameras, ubiquitous sensors),
the automatic detection of human behaviors from video is a very recent research topic. In this …

Appearance models for occlusion handling

A Senior, A Hampapur, YL Tian, L Brown… - Image and vision …, 2006 - Elsevier
Objects in the world exhibit complex interactions. When captured in a video sequence, some
interactions manifest themselves as occlusions. A visual tracking system must be able to …

Enabling video privacy through computer vision

A Senior, S Pankanti, A Hampapur… - IEEE Security & …, 2005 - ieeexplore.ieee.org
Closed-circuit television cameras used today for surveillance sometimes enable privacy
intrusion. The authors' privacy console manages operator access to different versions of …

[图书][B] Dynamic vision: from images to face recognition

S Gong, SJ McKenna, A Psarrou - 2000 - books.google.com
Face recognition is a task that the human vision system seems to perform almost effortlessly,
yet the goal of building computer-based systems with comparable capabilities has proven to …

Tracking multiple vehicles using foreground, background and motion models

DR Magee - Image and vision Computing, 2004 - Elsevier
In this paper a vehicle tracking algorithm is presented based on the combination of a novel
per-pixel (Gaussian Mixture Based) background model and a set of foreground models of …

Computer vision algorithms for intersection monitoring

H Veeraraghavan, O Masoud… - IEEE Transactions …, 2003 - ieeexplore.ieee.org
The goal of this project is to monitor activities at traffic intersections for detecting/predicting
situations that may lead to accidents. Some of the key elements for robust intersection …

[PDF][PDF] Vision-based human tracking and activity recognition

R Bodor, B Jackson… - Proc. of the 11th …, 2003 - mha.cs.umn.edu
The protection of critical transportation assets and infrastructure is an important topic these
days. Transportation assets such as bridges, overpasses, dams and tunnels are vulnerable …

Integrating perceptual and cognitive modeling for adaptive and intelligent human-computer interaction

Z Duric, WD Gray, R Heishman, F Li… - Proceedings of the …, 2002 - ieeexplore.ieee.org
This paper describes technology and tools for intelligent human-computer interaction (IHCI)
in which human cognitive, perceptual, motor and affective factors are modeled and used to …