| 在线修正的人脸姿态跟踪算法及交互应用 |
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| 引用本文： | 胡银焕,安国成,张凤军,戴国忠.在线修正的人脸姿态跟踪算法及交互应用[J].软件学报,2010,21(Z1):1-11. |
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| 作者姓名： | 胡银焕 安国成 张凤军 戴国忠 |
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| 作者单位： | 中国科学院软件研究所 人机交互技术与智能信息处理实验室,北京 100190;中国科学院软件研究所 人机交互技术与智能信息处理实验室,北京 100190;中国科学院软件研究所 人机交互技术与智能信息处理实验室,北京 100190;中国科学院软件研究所 人机交互技术与智能信息处理实验室,北京 100190 |
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| 基金项目： | Supported by the National Basic Research Program of China under Grant No.2009CB320804 (国家重点基础研究发展计划(973));
the National Natural Science Foundation of China under Grant Nos.U0735004, 60673188 (国家自然科学基金); the National High-Tech
Research and Development Plan of China under Grant Nos.2009AA01Z337, 2008AA01Z303 (国家高技术研究发展计划(863)); the
China Postdoctoral Science Foundation under Grant No.20100470588 (中国博士后科学基金资助) |
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| 摘 要： | 针对人脸在跟踪过程中可能存在大幅度的倾斜、旋转、遮挡以及肤色干扰等问题,提出一种基于在线修正的人脸跟踪算法.该算法当人脸检测失效时,人脸跟踪模块将用于提取目标参数;而在人脸跟踪过程中,为减小由连续跟踪造成的累积误差,利用人脸实时检测机制新检测到的人脸目标参数来修正跟踪模块的参数,包括跟踪窗口的位置和尺度,从而利用了人脸检测和人脸跟踪各自的优点.通过实验,其结果表明,该算法能够精确地跟踪复杂姿态下的人脸目标,并且能够解决肤色干扰和遮挡的问题,具有很好的适应性和鲁棒性.另外,将在线修正的跟踪方法应用于娱乐游戏控制,为人机交互提供了新的方式.
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| 关 键 词： | 在线修正 复杂姿态 遮挡 干扰 跟踪 |
| 收稿时间： | 2009/7/15 0:00:00 |
| 修稿时间： | 7/9/2010 12:00:00 AM |
Face Tracking Based on Online Modifying under Complex Postures and Interactive Applications |
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| HU Yin-Huan,AN Guo-Cheng,ZHANG Feng-Jun and DAI Guo-Zhong.Face Tracking Based on Online Modifying under Complex Postures and Interactive Applications[J].Journal of Software,2010,21(Z1):1-11. |
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| Authors: | HU Yin-Huan AN Guo-Cheng ZHANG Feng-Jun and DAI Guo-Zhong |
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| Affiliation: | Intelligence Engineering Laboratory, Institute of Software, The Chinese Academy of Sciences, Beijing 100190, China;Intelligence Engineering Laboratory, Institute of Software, The Chinese Academy of Sciences, Beijing 100190, China;Intelligence Engineering Laboratory, Institute of Software, The Chinese Academy of Sciences, Beijing 100190, China;Intelligence Engineering Laboratory, Institute of Software, The Chinese Academy of Sciences, Beijing 100190, China |
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| Abstract: | Because human face tracking is prone to be affected under complex postures (largely tilt, rotate, occlusion and color interference), this paper proposes a new face tracking algorithm based on online modifying, which includes two modules: detection module and tracking module. Tracking module is effective when detection is failed, and in the process of face tracking, in order to reduce the continuous accumulation of errors, we use real-time face detection to fix the parameters (including tracking the location and scale) of the tracking module, which made use of face detection and tracking with their respective advantages. Experiments show that the algorithm is able to accurately track a face under largely tilt and rotate and is also robust to color interfere and occlusion. In addition, the algorithm is used to control commercial games, which provides a new interactive way for HCI. |
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| Keywords: | online modify complex postures occlusion tracking |
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