Efficient Image Pixel Comparison in Background Subtraction for Real Time Motion Estimation

Abstract

Digital video coding has gradually increased in importance since the 90s when MPEG-1 first emerged. It has had large impact on video delivery, storage and presentation. Compared to analog video, video coding achieves higher data compression rates without significant loss of subjective picture quality. In image and video processing, the estimation of motion plays a vital role in video compression as well as multi-frame image enhancement. . The main problem is to detect and extract each frame in video sequence for detecting motion between these frames with less computation time. To solve this, it proposes an algorithm to detect and extract each frame in video sequence for detecting motion between these frames by improved background subtraction technique. In this, each frame of video sequence will be extracted and stored. After this, difference between frames will be computed. The performance in terms of MSE and PSNR is calculated.

Authors and Affiliations

Neha . , Ms. Amrita Chaudhary

Keywords

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  • EP ID EP24505
  • DOI -
  • Views 305
  • Downloads 10

How To Cite

Neha . , Ms. Amrita Chaudhary (2017). Efficient Image Pixel Comparison in Background Subtraction for Real Time Motion Estimation. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(6), -. https://europub.co.uk./articles/-A-24505