Integrating Graphics Into Video Image-Based Camera Tracking and Filtering

1996 ◽  
pp. 74-84
Author(s):  
Peter Wißkirchen ◽  
Klaus Kansy ◽  
Günther Schmitgen
Keyword(s):  
Video Image ◽  
Camera Tracking

Traffic incident detection system based on video image processing

2008 ◽  
Vol 28 (7) ◽  
pp. 1886-1889 ◽  
Author(s):  
Qin WANG ◽  
Shan HUANG ◽  
Hong-bin ZHANG ◽  
Quan YANG ◽  
Jian-jun ZHANG
Keyword(s):  
Image Processing ◽  
Detection System ◽  
Video Image ◽  
Incident Detection ◽  
Traffic Incident ◽  
Video Image Processing

Video image character recognition based on stroke-related weight

2013 ◽  
Vol 32 (8) ◽  
pp. 2305-2308
Author(s):  
Chang SU ◽  
Xiao-dong HU ◽  
Bin-fu WANG ◽  
Feng-jun SHANG
Keyword(s):  
Character Recognition ◽  
Video Image

Max/MSP/Jitter for Music

2011 ◽  
Author(s):  
V. J Manzo
Keyword(s):  
Video Game ◽  
Music Technology ◽  
Camera Tracking ◽  
Instructional Tools ◽  
Music Therapists ◽  
Interactive Music ◽  
Pitch Tracking ◽  
Special Value ◽  
And Performance ◽  
Private Studio

In Max/MSP/Jitter for Music, expert author and music technologist V. J. Manzo provides a user-friendly introduction to a powerful programming language that can be used to write custom software for musical interaction. Through clear, step-by-step instructions illustrated with numerous examples of working systems, the book equips you with everything you need to know in order to design and complete meaningful music projects. The book also discusses ways to interact with software beyond the mouse and keyboard through use of camera tracking, pitch tracking, video game controllers, sensors, mobile devices, and more. This book will be of special value for everyone who teaches music at any level, from classroom instructors to ensemble directors to private studio instructors. Whether you want to create simple exercises for beginning performers or more complex programs for aspiring composers, this book will show you how to write customized software that can complement and even inspire your instructional objectives. No specialist foreknowledge is required to use this book to enliven your experience with music technology. Even musicians with no prior programming skills can learn to supplement their lessons with interactive instructional tools, to develop adaptive instruments to aid in composition and performance activities, and to create measurement tools with which to conduct research. This book allows you to: -Learn how to design meaningful projects for composition, performance, music therapy, instruction, and research -Understand powerful software through this accessible introduction, written for beginners -Follow along through step-by-step tutorials -Grasp the principles by downloading the extensive software examples from the companion website This book is ideal for: -Music educators at all levels looking to integrate software in instruction -Musicians interested in how software can improve their practice and performance -Music composers with an interest in designing interactive music -Music therapists looking to tailor programs to the needs of specific groups or individuals And all who are interested in music technology. Visit the companion website at www.oup.com/us/maxmspjitter

scholarly journals COVIMOS: A Coastal Video Monitoring System

2017 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
I Made Oka Widyantara ◽  
I Made Dwi Asana Putra ◽  
Ida Bagus Putu Adnyana
Keyword(s):  
Monitoring System ◽  
Nearest Neighbor ◽  
Low Cost ◽  
Video Image ◽  
Video Monitoring ◽  
Reference Object ◽  
Self Organizing Map ◽  
K Nearest Neighbor ◽  
Ip Camera ◽  
Class Labels

This paper intends to explain the development of Coastal Video Monitoring System (CoViMoS) with the main characteristics including low-cost and easy implementation. CoViMoS characteristics have been realized using the device IP camera for video image acquisition, and development of software applications with the main features including detection of shoreline and it changes are automatically. This capability was based on segmentation and classification techniques based on data mining. Detection of shoreline is done by segmenting a video image of the beach, to get a cluster of objects, namely land, sea and sky, using Self Organizing Map (SOM) algorithms. The mechanism of classification is done using K-Nearest Neighbor (K-NN) algorithms to provide the class labels to objects that have been generated on the segmentation process. Furthermore, the classification of land used as a reference object in the detection of costline. Implementation CoViMoS system for monitoring systems in Cucukan Beach, Gianyar regency, have shown that the developed system is able to detect the shoreline and its changes automatically.

scholarly journals Multiple Watermarking Scheme for Video & Image for Authentication & Copyright Protection

2021 ◽  
Vol 1131 (1) ◽  
pp. 012020
Author(s):  
Neha Janu ◽  
Ankit Kumar ◽  
Pankaj Dadheech ◽  
Gajanand Sharma ◽  
Ashutosh Kumar ◽  
...  
Keyword(s):  
Copyright Protection ◽  
Video Image ◽  
Multiple Watermarking ◽  
Watermarking Scheme
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