Research on Abnormal Behavior Recognition in Intelligent Surveillance

CHEN Ying-ming; CHEN Shu-yue; ZHANG Xian-ting

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Research on Abnormal Behavior Recognition in Intelligent Surveillance

更新时间：2026-09-04

- Research on Abnormal Behavior Recognition in Intelligent Surveillance
- Vol. 27, Issue 11, Pages: 102-105(2010)
- 作者机构：
  
  1. 中北大学机构信息与通信工程学院,山西,太原,030051
  2. 中北大学仪器科学与动态测试教育部重点实验室,山西,太原,030051
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
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陈颖鸣, 陈树越, 张显亭. 智能视频监控中异常行为识别研究[J]. 微电子学与计算机, 2010, 27(11): 102-105.

CHEN Ying-ming, CHEN Shu-yue, ZHANG Xian-ting. Research on Abnormal Behavior Recognition in Intelligent Surveillance[J]. 2010, 27(11): 102-105.
陈颖鸣, 陈树越, 张显亭. 智能视频监控中异常行为识别研究[J]. 微电子学与计算机, 2010, 27(11): 102-105. DOI：

CHEN Ying-ming, CHEN Shu-yue, ZHANG Xian-ting. Research on Abnormal Behavior Recognition in Intelligent Surveillance[J]. 2010, 27(11): 102-105. DOI：

摘要

通过对HSV空间阴影检测与RGB空间阴影检测进行比较

分析了两种方法对消除阴影的效果

得出采用RGB空间阴影检测方法消除阴影对运动目标的识别更为准确.通过给出人的异常行为判别准则来识别运动目标是否属于消失、攀爬、跌倒等情况

实验结果表明该识别方法简单、快速、准确

取得了较好的识别效果.

Abstract

This paper first compares HSV space for shadow detection and RGB space for shadow detection and analyze the effect on eliminating the shadow. The author concludes that RGB space for shadow detection is more suitable for detection of moving targets. Whats more

in this paper

a couple of criterions are defined to analyze whether people disappear

climb

or fall. Experiments demonstrate that the approach which is proposed on abnormal behavior recognition is easy

fast and effective and aehieves good recognition effect.

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