首页> 外文会议>International Conference on Informative and Cybernetics for Computational Social Systems >Detection method for cheating behavior in examination room based on artificial bee colony algorithm
【24h】

Detection method for cheating behavior in examination room based on artificial bee colony algorithm

机译:基于人工蜂群算法的检查室作弊行为检测方法

获取原文

摘要

A detection method for cheating behavior in examination room based on artificial bee colony algorithm is presented. The problem of moving objects detection is transformed into the difference function of color value between foreground and background. Artificial bee colony algorithm is applied for optimizing the objective function. The background component is separated from the sequence images by value of comparing with proper threshold and the moving target track can be successfully extracted. Simulation experiments with real surveillance image show that the mothed can attain good results for finding the track of moving objects and achieve the purpose of detecting the cheating behaviors in examination room.
机译:提出了一种基于人工蜂群算法的检查室作弊行为检测方法。将运动目标检测的问题转化为前景与背景之间的色值差异函数。应用人工蜂群算法优化目标函数。通过与适当的阈值进行比较的值将背景分量与序列图像分离,并且可以成功地提取运动目标轨道。真实监控图像的仿真实验表明,该方法可以很好地发现运动物体的轨迹,达到检测检查室作弊行为的目的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号