Moving Object Detection and Tracking Based on WADM

被引：0

作者：

Zuo, Feng-yan ^{[1
]}

Gao, Sheng-fa ^{[2
]}

机构：

[1] Shandong Lib, Jinan, Shandong, Peoples R China

[2] Shandong Univ, Coll Comp Sci & Technol, Jinan, Shandong, Peoples R China

来源：

2009 INTERNATIONAL SYMPOSIUM ON COMPUTER NETWORK AND MULTIMEDIA TECHNOLOGY (CNMT 2009), VOLUMES 1 AND 2 | 2009年

关键词：

Accumulative Difference; moving detection; tracking; Interest Points;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to solve the problem of slowly moving object detection and tracking, this paper proposes a new Weighted Accumulative Difference method and works out a weights setting algorithm to fast detect the slowly moving object. We obtain the Interest Points from the moving area detected, then fix the matching range with the Maximum velocity Principle and work out a non-retrospective mismatch detection algorithm with the Consistency Principle. These methods upwards can enhance the efficiency and precision of our tracking system.

引用

页码：1008 / +

页数：2