International Conference in Computational Intelligence |
Foundation of Computer Science USA |
ICCIA - Number 3 |
March 2012 |
Authors: Sagar Badnerkar, Yash Kshirsagar |
55a0ab50-3811-4d5a-aa58-5828d3273bb2 |
Sagar Badnerkar, Yash Kshirsagar . Real Time Motion Detected Video Storage Algorithm for Online Video Recording. International Conference in Computational Intelligence. ICCIA, 3 (March 2012), 21-25.
In this paper, a real time background modelling and its maintenance for motion activated online video recording along with compression of video is described. maintenance model is proposed for preventing some kind of false triggering such as illumination changes environmental condition changes etc. Detection of changes in a background frame initiates video recording with real time video compression reduce the size of memory. Real time video compression using Three Dimensional Discrete Cosine Transform is used which takes advantage of statistical behaviour of video data both in spatial and temporal domain. High degree of compression is a 3D-DCT technique without using motion estimation and compensation techniques.