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联合人体模型与块生长的人群目标分割

邓颖娜 朱虹 刘薇 张晓丹

邓颖娜, 朱虹, 刘薇, 张晓丹. 联合人体模型与块生长的人群目标分割[J]. 电子与信息学报, 2010, 32(3): 750-754. doi: 10.3724/SP.J.1146.2009.00119
引用本文: 邓颖娜, 朱虹, 刘薇, 张晓丹. 联合人体模型与块生长的人群目标分割[J]. 电子与信息学报, 2010, 32(3): 750-754. doi: 10.3724/SP.J.1146.2009.00119
Deng Ying-na, Zhu Hong, Liu Wei, Zhang Xiao-dan. Human Pose Model and Block Growth Combined Crowd Segmentatio[J]. Journal of Electronics & Information Technology, 2010, 32(3): 750-754. doi: 10.3724/SP.J.1146.2009.00119
Citation: Deng Ying-na, Zhu Hong, Liu Wei, Zhang Xiao-dan. Human Pose Model and Block Growth Combined Crowd Segmentatio[J]. Journal of Electronics & Information Technology, 2010, 32(3): 750-754. doi: 10.3724/SP.J.1146.2009.00119

联合人体模型与块生长的人群目标分割

doi: 10.3724/SP.J.1146.2009.00119

Human Pose Model and Block Growth Combined Crowd Segmentatio

  • 摘要: 人群目标的准确分割,是进行多相机联合目标跟踪与识别的关键。该文首先构造包含位置、尺寸、姿态信息的人体粗略姿态模型,并利用贝叶斯模型获得对应的目标模型。然后将前景区域利用分水岭算法划分为颜色分布一致的子块,通过位置和颜色约束解决遮挡目标的种子块选取问题。最后通过块生长获得每个目标区域。对于颜色相似子块,通过比较其产生的边缘能量确定其所属目标。实验结果表明,本文能够实现对人群目标较精确分割,且对背景噪声具有一定的抗干扰能力。
  • Yang Ran and Zheng Qin-fen. Multi-moving people detectionfrom binocular sequences[C]. Proceedings of InternationalConference on Acoustic, Speech and Signal Processing. HongKong, 2003, Vol.2: 297-300.[2]Brostow G J and Cipolla R. Unsupervised Bayesian detectionof independent motion in crowds[C]. Proceedings of IEEEComputer Society Conference on Computer Vision andPattern Recognition, New Yourk: IEEE Computer Society,2006, Vol.1: 594-601.[3]Elgammal A M and Davis LS. Probabilistic framework forsegmenting people under Occlusion[C]. Proceedings of 8thIEEE Conference on Computer Vision,Vancouver, 2001,Vol 2:145-152.[4]Ramanan D and Forsyth D A. Finding and tracking peoplefrom the bottom up[C]. Proceedings of IEEE Conference onComputer Vision and Pattern Recognition, Madison, 2003,Vol.2: 467-474.[5]Zhe Lin, Davis L S, and Doermann D, et al.. An interactiveapproach to pose-assisted and appearance-basedsegmentation of humans[C]. Proceedings of IEEE 11thInternational Conference on Computer Vision, Rio de Janeiro,Brazil, 2007: 1-8.[6]Wu Bo and Nevatia R. Detection and tracking of multiple,partially occluded humans by Bayesian combination ofedgelet based part detectors[J]. International Journal ofComputer Vision, 2007, 27(2): 247-266.[7]Zhao Tao and Ram Nevatia. Bayesian human segmentationin crowded situations[C]. Proceedings of IEEE ComputerSociety Conference on Computer Vision and PatternRecognition, Madison, 2003, Vol.2: 459-466.[8]Zhe Lin, Davis L S, Doermann D, and Dementhon D.Hierarchical part-template matching for human detectionand segmentation[C]. Proceedings of IEEE 11th InternationalConference on Computer Vision, Rio de Janeiro, 2007: 1-8.[9]杨莉, 杨新. 基于区域划分的曲线演化多目标分割[J]. 计算机学报, 2004, 27(3): 420-425.Yang Li and Yang Xin. Multi-object segmentation based oncurve evolving and region division[J]. Chinese Journal ofComputers, 2004, 27(3): 420-425.[10]Jacky S C, Yuk K K, and Wong R, et al.. Real-time multiplehead shape detection and tracking system with decentralizedtrackers[C][J].Proceedings of 6th IEEE InternationalConference on Intelligent System Design and Applications,Jinan.2006, Vol.2:384-389
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出版历程
  • 收稿日期:  2009-01-21
  • 修回日期:  2009-07-21
  • 刊出日期:  2010-03-19

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