邵展鹏
 副教授 硕士生导师　　　　
 性别：男
 学位：博士
 毕业院校：香港城市大学
 研究机构：计算机视觉研究所
 邮箱：zpshao@zjut.edu.cn
 办公地点：B314
 研究方向：计算机视觉与模式识别、人体行为理解

个人简介
简历：
2004年西安理工大学，获学士学位
2007年西安理工大学，获硕士学位
2007/05-2011/08，年在研祥智能科技股份有限公司从事嵌入式系统开发，担任系统开发工程师
2011/09-2015/10，香港城市大学毕业，获博士学位
2015/08-2016/01，香港城市大学深圳研究院，担任高级副研究员
2016/01-至今，浙江工业大学，校聘副教授
研究（情况）项目：
国家自然科学基金，基于刚体运动轨迹的三维人体动作分层表示方法研究，负责人（在研）
国家自然科学基金，基于关键运动元检测的连续人体动作识别，第1参与人（在研）
国家自然科学基金，复杂行为模式的关键语义表示、流形分析及实时检测方法研究，第2参与人（在研）
国家自然科学基金，自主移动与参考结构层析成像融合实现多维红外成像的新方法，第4参与人（结题）
论文(*表示通讯作者)：
[1]Zhanpeng Shao, Y.F. Li, "Integral Invariants for Space Motion Trajectory Matching and Recognition",Pattern Recognition, vol. 48, no. 8, pp. 2418–2432, 2015.
[2]Zhanpeng Shao, Y.F. Li, "On Integral Invariants for Effective 3-D Motion Trajectory Matching and Recognition",IEEE Transactions on Cybernetics, vol. 46, no. 2, pp. 511–523, 2016.
[3] Yao Guo, Y.F. Li,Zhanpeng Shao, "RRV: A Spatiotemporal Descriptor for Rigid Body Motion Recognition",IEEE Transactions on Cybernetics, vol. PP, no. 99, pp. 1–13, 2017.
[4] Yao Guo, Y.F. Li,Zhanpeng Shao, "DSRF: A Flexible Trajectory Descriptor for Articulated Human Action Recognition",Pattern Recognition, vol. 76, no. Supplement C, pp. 137–148, 2018.
[5] Yao Guo, Y. F. Li, andZhanpeng. Shao, “On Multi-Scale Self-Similarities Description for Effective 3D/6D Motion Trajectory Recognition”,IEEE Transactions on Industrial Informatics, vol. 13, no. 6, pp. 3017-3026, 2017.
[6]Zhanpeng Shao, Youfu Li, Yao Guo, Jianyu Yang, “A Hierarchical Model for Action Recognition Based on Body Parts”,IEEE International Conference on Robotics and Automation (ICRA2018), Brisbane, Australia, 2018, pp. 1-8. (accepted)
[7] Yao Guo, Y.F. Li,Zhanpeng Shao, "MSM-HOG: A Flexible Trajectory Descriptor for Rigid Body Motion Recognition",IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2017), Vancouver, BC, 2017.
[8] Yao Guo, Y.F. Li,Zhanpeng Shao, "DSRF: A flexible descriptor for Effective rigid body motion trajectory recognition",IEEE International Conference on Mechatronics and Automation (ICMA2016),Harbin, China, pp. 1673–1678.
[9] Haoran Xu, Jianyu Yang,Zhanpeng Shao, Yazhe Tang, and Youfu Li, "Contour Based Shape Matching for Object Recognition",International Conference on Intelligent Robotics and Applications (ICIRA2016), Tokyo, Japan, 2016, pp. 289–299.
[10]Zhanpeng Shao, Y.F. Li, and Yao Guo,"Motion Trajectory Recognition Using Local Temporal Self-Similarities",IEEE International Conference on Robotics and biomimetics (ROBIO2015), Zhuhai, China, 2015, to be appeared on December.
[11]Zhanpeng Shao, Y.F. Li, "Multiscale Integral Invariants for Motion Trajectory Matching and Recognition",IEEE International Conference on Mechatronics and Automation (ICMA2014), Tianjin, China, 2014, pp. 126–131.
[12]Zhanpeng Shao, Y.F. Li, "A New Descriptor for Multiple 3D Motion Trajectories Recognition",IEEE International Conference on Robotics and Automation (ICRA2013),Karlsruhe, Germany, 2013, pp. 4749–4754.
[13] Tianxiang Bai, Y.F. Li, andZhanpeng Shao, "Online Visual Object Tracking with Supervised Sparse Representation and Learning", 13thInternational Conference on Control, Automation, Robotics & Vision (ICARCV2014), Marina Bay Sands, Singapore, 2014, pp. 827–832.
[14] Tianxiang Bai, Y.F. Li, andZhanpeng Shao, "Learning Appearance Manifolds with Structured Sparse Representation for Robust Visual Tracking",IEEE International Conference on Robotics and Automation (ICRA2013), Karlsruhe, Germany, 2013, pp. 5788–5793.
科研奖励：
1. 2014年ICMA最佳论文奖：Zhanpeng Shao, Y.F. Li. Multiscale Integral Invariants for Motion Trajectory Matching and Recognition
2. 2016年ICMA最佳论文奖：Yao Guo, Y.F. Li, Zhanpeng Shao, "DSRF: A flexible descriptor for effective rigid body motion trajectory recognition