| 基于AdaBoost和帧间特征的人数统计 |
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| 引用本文： | 文嘉俊,徐勇,战荫伟. 基于AdaBoost和帧间特征的人数统计[J]. 中国图象图形学报, 2011, 16(9): 1729-1735 |
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| 作者姓名： | 文嘉俊 徐勇 战荫伟 |
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| 作者单位： | 哈尔滨工业大学深圳研究生院计算机科学与技术学院，深圳 518055,哈尔滨工业大学深圳研究生院计算机科学与技术学院，深圳 518055,广东工业大学计算机学院，广州 510006 |
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| 摘 要： | 视频监控中出入口人数统计的难点在于人流密集时对每个人体的准确分割。通过学习的方法得到人头检测的分类器，并在垂直拍摄图像中提取人头候选区域，以分离相互靠近的人体目标，进而根据人头的运动特征剔除静止误检区域，根据误检目标检测频率低及其响应位置不连续的特征剔除动态误检区域。最后提出一种简易可行的过线跟踪方案以完成计数。实验中对各种复杂情况的过线视频进行测试，正确率能够达到95%以上。与传统方法相比，本文方法解决了多人过线或搬货物过线时传统方法难以准确完成的行人分割和计数，更适于实际情况的人数统计。
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| 关 键 词： | AdaBoost；人头识别；帧差法；检测响应特征；目标跟踪 |
| 收稿时间： | 2010-12-23 |
| 修稿时间： | 2011-05-26 |
People counting based on AdaBoost and inter-frame features |
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| Wen Jiajun,Xu Yong and Zhan Yinwei. People counting based on AdaBoost and inter-frame features[J]. Journal of Image and Graphics, 2011, 16(9): 1729-1735 |
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| Authors: | Wen Jiajun Xu Yong Zhan Yinwei |
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| Affiliation: | Wen Jiajun~(1)),Xu Yong~(1)),Zhan Yinwei~(2)) 1)(School of Computer Science and Technology,Harbin Institute of Technology Shenzhen Graduate School,Shenzhen 518055 China) 2)(Faculty of Computer,Guangdong University of Technology,Guangzhou 510006 China) |
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| Abstract: | The difficulty of counting the number of people using video surveillance lies in the correct segmentation of each person in crowded situations.For this problem,we train a classifier to detect head candidates so as to distinguish between people walking closely under the overhead mounted camera The static false detected candidates are removed according to the motion feature of the head,while the dynamic ones are eliminated due to their low detected frequency and discontinuous response positions.Finally,an eas... |
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| Keywords: | AdaBoost head recognition inter-frame differencing detection response features object tracking |
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