Open AccessInteresting Video Frames Capturing on Digital Video Development Platform
Author(s) -
D. Nethaji,
Mary Joans,
S. Shoba
Publication year - 2011
Publication title -
international journal of electronic signal and systems
Language(s) - English
Resource type - Journals
ISSN - 2231-5969
DOI - 10.47893/ijess.2011.1004
Subject(s) - computer science , video processing , video tracking , video capture , digital video , smacker video , video compression picture types , field (mathematics) , computer vision , artificial intelligence , code (set theory) , non linear editing system , computer graphics (images) , frame (networking) , telecommunications , mathematics , set (abstract data type) , pure mathematics , programming language
Video surveillance has been a popular security tool for years. Video surveillance systems produce huge amounts of data for storage and display. Long-term human monitoring of the acquired video is impractical and in-effective. This paper presents a novel solution for real-time cases that identify and record only “interesting” video frames containing motion. In addition to traditional methods for compressing individual video images, we could identify and record only “interesting” video images, such as those images with significant amounts of motion in the field of view. The model would be built in simulink, one of tools in matlab and incorporated with davinci code processor, a video processor. That could significantly help reduce the data rates for surveillance-specific applications.