We describe a system for tracking real-time hand gestures captured by a cheap web camera and a standard Intel Pentium based personal computer with no specialized image processing hardware. To attain the necessary processing speed, the system exploits the Multi-Media Instruction set (MMX) extensions of the Intel Pentium chip family through software including. the Microsoft DirectX SDK and the In...

-The essential part of the human body that distinguishes an individual is their face. The primary objective this project to develop attendance monitoring system based on facial recognition for academic in order upgrade and improve current management increase its effectiveness efficient than it existed previously. With OpenCV Real-time Face Recognition system, you may not only capture attendance...

Robert Laganière is a professor at the University of Ottawa, Canada. He received his Ph.D. degree from INRS-Telecommunications in Montreal in 1996. Dr. Laganière is a researcher in computer vision with an interest in video analysis, intelligent visual surveillance, and imagebased modeling. He is a co-founding member of the VIVA research lab. He is also a Chief Scientist at iWatchLife.com, a com...

In this paper we discuss suitability of the using an open source environment; OpenCV for providing effective solutions for complex image processing and vision algorithm for real time application for UG and PG students projects. Computer Vision (CV) applications require extensive knowledge of digital signal processing, mathematics, statistics and perception. OpenCV is an open source vision libra...

Visual information from the human face; lip-movements and tongue provide us with lots of information about the spoken message and helps in understanding the verbal communication. The visual speech detection overcomes some of the persistent problems and inaccuracies encountered by users that creep in when there is background noise. In noisy environment we pay more attention to the lips which dra...

The automated recognition of handwritten digits is a largely studied problem which connects the fields of Computer Vision and Machine Learning and has many applications in real life. In this project, I detail an introductory investigation of the performance of classification in several contexts. Namely, relying on the OpenCV implementations of k-Nearest Neighbor, Random Forests, and Support Vec...

Object detection is an important area of image processing. Specifically, face detection finds uses in image retrieval, surveillance, and many other applications. Because real-time processing may be desirable in some applications, it is useful to find fast algorithms and hardware that can perform this operation. One such algorithm for face detection that has proven to be fast is found in Intel’s...

Resumo: Este tutorial apresenta conceitos introdutórios de processamento de imagens (filtros) e de visão computacional (segmentação, classificação, reconhecimento de padrão e rastreamento). Estes conceitos serão introduzidos utilizando a biblioteca OpenCV, que é distribuída gratuitamente e possui documentação farta na internet, com exemplos e aplicações práticas. Será mostrado como obter e como...