Study of Motion Detection Technology Based on Davinci Platform

Abstract:

A motion object detection method is presented based on Davinci platform. This paper adopts color histogram algorithm to detect moving target, which is operated on TMS320DM6446. In continuous frames, probability distributions of both foreground pixel and background pixel are counted separately to build color histogram. Background probability can be computed based on gauss model. After background separation, we can use median filtering to suppress image noise, detect connected domain, converge foreground pixels to make up of moving object regions and mark them. The results show that the method presented has good accuracy and quick speed for realtime application.

• Periodical: Advanced Materials Research (Volumes 712-715)
• Pages: 2345-2348
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.712-715.2345
• Online since: June 2013
• Authors: Shuai Yuan*, Guo Yun Zhang, Jian Hui Wu, Long Yuan Guo
• Keywords: Color Historam, Davinci Platform, DM6446, Gauss Model, Median Filtering, Motion Object Detection

References

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