Abstract

In this paper, two methods of zoom motion estimation for color and depth videos by using depth information are proposed. Color and depth videos are independently estimated for zoom motion. Zoom for color video is scaled by spatial domain, and depth video is scaled by both spatial and depth domains. For color video, instead of existing methods of zoom motion estimation that apply all of possible zoom ratios for a current block, the zoom ratio of the proposed method is determined as the ratio of the average depth values of the current and reference blocks. Then, the reference block is resized by multiplying the zoom ratio and the reference block is mapped to the current block. For depth video, the reference block is first scaled in the spatial direction by the same methodology used for color video and then scaled by a distance ratio from a camera to the objects. Compared to the conventional motion estimation method, the proposed method reduces MSE by up to about 30% for the color video and up to about 85% for the depth video.

Highlights

  • Intelligent surveillance systems for monitoring the behavior of objects are operated in various places for public safety

  • In this paper, we proposed a method of calculating the zoom ratio for the zoom motion estimation of color video by using the depth information

  • We proposed a method of the zoom motion estimation for the depth video

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Summary

Introduction

Intelligent surveillance systems for monitoring the behavior of objects are operated in various places for public safety. A zoom estimation method for color video is first proposed by using depth information. The proposed method determines the zoom ratio as the ratio of the representative depth values of a current block to a reference block.

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