scholarly journals Computer Vision based Machine Interaction

2011 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
Carlos Hitoshi Morimoto ◽  
Flávio Coutinho ◽  
Jefferson Silva ◽  
Silvia Ghirotti ◽  
Thiago Santos
Keyword(s):  
Computer Vision ◽  
Virtual Reality ◽  
People Tracking ◽  
Desktop Computers ◽  
Monitoring Applications ◽  
Multiple People Tracking ◽  
Machine Interaction

This paper introduces the Laboratory of Technologies for Interaction(LaTIn) and briefly describes its current main projects. The mainfocus of LaTInhas been developing new ways of human-machineinteraction using computer vision techniques. The projects arecathegorized according to the distance between the human user and themachine being operated. For close distances, appropriate forinteraction with desktop computers for example, we have developed eye-gazebased interfaces. We have also built hand and body gestures interfacesappropriate for kiosks and virtual reality settings and, for largedistances, we have developed novel multiple people tracking techniquesthat have been used for surveillance and monitoring applications.

scholarly journals Particle Filter Tracking without Dynamics

2007 ◽  
Vol 4 (4) ◽  
pp. 169-177 ◽  
Author(s):  
Jaime Ortegon-Aguilar ◽  
Eduardo Bayro-Corrochano
Keyword(s):  
Computer Vision ◽  
Particle Filter ◽  
Background Subtraction ◽  
Particle Filters ◽  
Frame Rate ◽  
People Tracking ◽  
Human Machine Interaction ◽  
Controlled Environments ◽  
Low Frame Rate ◽  
Machine Interaction

People tracking is an interesting topic in computer vision. It has applications in industrial areas such as surveillance or human-machine interaction. Particle Filters is a common algorithm for people tracking; challenging situations occur when the target's motion is poorly modelled or with unexpected motions. In this paper, an alternative to address people tracking is presented. The proposed algorithm is based in particle filters, but instead of using a dynamical model, it uses background subtraction to predict future locations of particles. The algorithm is able to track people in omnidirectional sequences with a low frame rate (one or two frames per second). Our approach can tackle unexpected discontinuities and changes in the direction of the motion. The main goal of the paper is to track people from laboratories, but it has applications in surveillance, mainly in controlled environments.

Mobile Virtual Heritage Exploration with Heritage Hunt with a Case Study of George Town, Penang, Malaysia

2011 ◽  
Vol 2 (4) ◽  
pp. 74-86
Author(s):  
Kiam Lam Tan ◽  
Chen Kim Lim ◽  
Abdullah Zawawi bin Haji Talib
Keyword(s):  
Virtual Reality ◽  
Computer Games ◽  
Mobile Platforms ◽  
Mobile Phone Technology ◽  
Heritage Sites ◽  
Virtual Heritage ◽  
Desktop Computers ◽  
Game Console ◽  
George Town

Computer games with fully intensive graphics are very common in desktop computers or game console, but the development of mobile games with intensive graphics are fairly new. With the advancement in mobile phone technology, it is possible to create a mobile game incorporates integrate the virtual reality techniques. In this paper, the authors present a virtual heritage application called M-Heritage Hunt that integrates virtual reality and game for mobile platforms. M-Heritage Hunt provides panoramic views of the heritage sites and a game background that is customized for the core of heritage zone of George Town, Penang in Malaysia. M-Heritage Hunt was evaluated and examined by letting the respondents to play the game in its proposed setting.

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