Video mining - Learning patterns of behaviour via an intelligent image analysis system

被引：2

作者：

Bell, D. A. ^{[1
]}

Beck, A. ^{[1
]}

Miller, P. ^{[1
]}

Wu, Q. X. ^{[1
]}

Herrera, A. ^{[1
]}

机构：

[1] Queens Univ Belfast, Sch Elect & Elect Engn & Comp Sci, Belfast BT7 1NN, Antrim, North Ireland

来源：

PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS | 2007年

关键词：

D O I：

10.1109/ISDA.2007.53

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we describe a system for capturing time-varying sequences of behavioural patterns of agents or robots from a video clips. The detailed time slices of action are 'coarsened' to provide gross, molecular units of behaviour. Combinations of these are then represented in the form of a table, which is mined using Rough sets methods here, although various other mining techniques can also be used Some preliminary experiments are reported to prove the concept.

引用

页码：460 / 464

页数：5

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