Automatic Person Detection and Tracking using Fuzzy Controlled Active Cameras
Automatic Person Detection and Tracking using Fuzzy Controlled Active Cameras
复制标题
使用模糊控制主动摄像机进行自动人员检测和跟踪
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
R. Stiefelhagen
中科院分区：
文献类型：
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作者：
Keni Bernardin;F. V. D. Camp;R. Stiefelhagen
本文介绍了一种使用云台变焦摄像机的室内环境自动监测系统。使用基于Haar特征分类器的检测和颜色直方图过滤的组合来实现可靠的人物轨迹初始化，即使在摄像机移动的情况下也是如此。针对面部和上身的自适应颜色和KLT特征跟踪器的组合允许在存在遮挡或干扰的情况下进行稳健的跟踪和跟踪恢复。摄像机参数的连续重新计算，加上模糊控制方案允许平滑跟踪移动目标以及获取稳定的面部特写，类似于人类摄影师的自然行为。该系统在一系列自然的室内监测场景上进行了测试，显示出高度的自然性、灵活性和鲁棒性。
This paper presents an automatic system for the monitoring of indoor environments using pan-tilt-zoomable cameras. A combination of Haar-feature classifier-based detection and color histogram filtering is used to achieve reliable initialization of person tracks even in the presence of camera movement. A combination of adaptive color and KLT feature trackers for face and upper body allows for robust tracking and track recovery in the presence of occlusion or interference. The continuous recomputation of camera parameters, coupled with a fuzzy controlling scheme allow for smooth tracking of moving targets as well as acquisition of stable facial close ups, similar to the natural behavior of a human cameraman. The system is tested on a series of natural indoor monitoring scenarios and shows a high degree of naturalness, flexibility and robustness.
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DOI：
10.1007/978-1-4939-7647-8_1
发表时间：
2018
期刊：
Neuromethods
影响因子：
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作者：
Joshi,AnandA
通讯作者：
Joshi,AnandA