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有关背景建模技术的国际上的先进方法,以及对各种方法的评价-Evaluation of background subtraction techniques for video surveillance
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O.Javed and M.Shah. 《Tracking and object classification for automated surveillance》.
这篇英文文献是有关运动目标检测跟踪及其分类的文章。该文利用“人体运动的周期性”,把运动目标分为人、人群、机动车。具有较强的参考价值。-O. Javed and M. Shah. " Tracking and object classification for automated surveillance" .
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Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. 这篇文章是有关多运动目标分类的文章。使用常用的长宽比作为分类特征,结合角点特征。提高了人车的分类效果。-Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. This article is about the many obj
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A paper on Multi-Strategy Object Tracking in Complex Situation for Video Surveillance
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2009-2012年视频监控系统行业竞争格局与投资战略研究咨询报告-Video Surveillance System 2009-2012 competition in the industry structure and investment strategy research and consulting reports
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A review on background subtraction in a fixed background video surveillance. It includes basic frame difference method , averaging and gmm based subtraction of background.
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Biologically Inspired Features for Scene
Classification in Video Surveillance
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基于MPEG_4的视频监控系统视频压缩算法研究 基于MPEG_4的视频监控系统视频压缩算法研究-MPEG_4-based video surveillance system video compression algorithm
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智能视频监控中的图像压缩与传输技术研究 智能视频监控中的图像压缩与传输技术研究-Image compression and transmission technology in the intelligent video surveillance
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网络视频监控系统高效编码技术的研究 网络视频监控系统高效编码技术的研究-Efficient coding of network video surveillance system technology
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基于运动参数提取的监控视频压缩和恢复可行性研究-Based on motion parameters extracted surveillance video compression and recovery feasibility study
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在加强社区内部的管理中,拥有可以对社区内部进行监控的系统可以节省下来很大一部分人力,并且比人为的巡逻更加可靠、安全。社区视频监控系统主要是利用摄像头和视频采集卡进行视频监控的-Strengthen the community within the management, with a monitoring system within the community can be saved a large part of the human, and more reliable than human
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altra nios II video system
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Face recognition [1], the least intrusive biometric technique
in terms of acquisition, has been applied to a wide range
of commercial and law enforcement applications. State-ofthe-
art face recognition systems perform with high accuracy
under
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