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.

Research on Moving Target Detection System Based on Video Surveillance

“…Based on digital image processing, artificial intelligence and database technology, this paper quickly and accurately extracts the feature information of moving objects such as people and cars from the large-scale video surveillance database, and stores these feature information in a database for security personnel to quickly query. Unattended intelligent monitoring of roads, plazas, and confidential departments [6,7]. The system is designed from its four perspectives: reliability, efficiency, universality, and ease of use to achieve: (1) reliability.…”