Synergies of Gait Recognition and Person Tracking

步态识别和行人跟踪的协同作用

• 批准号: 262055636
• 负责人: Professor Dr.-Ing. Gerhard Rigoll
• 金额: --
• 依托单位: Lehrstuhl für Mensch-Maschine-Kommunikation (MMK)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2014
• 资助国家: 德国
• 起止时间: 2013-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/262055636?language=en
• 关键词: Synergies; Gait; Recognition; Person; Tracking

In the proposed project, we propose to use synergies of two research areas in order to obtain completely new insights as well as new algorithms and methods which can be used for person identification in realistic surveillance scenarios. The applied research areas are on the one hand the field of gait-based person identification and on the other hand methods for people tracking from video data. The combination of both research areas and synergies between the two topics shall be exploited to enable new security systems.

在拟议的项目中，我们建议使用两个研究领域的协同作用，以获得全新的见解以及新的算法和方法，可用于在现实的监控场景中进行人员识别。应用研究领域一方面是基于步态的人识别领域，另一方面是从视频数据中进行人跟踪的方法。这两个研究领域的结合和两个主题之间的协同作用将被利用，以实现新的安全系统。

项目成果

A deep convolutional neural network for video sequence background subtraction

• DOI: 10.1016/j.patcog.2017.09.040
• 发表时间: 2018-04-01
• 期刊: PATTERN RECOGNITION
• 影响因子: 8
• 作者: Babaee, Mohammadreza;Duc Tung Dinh;Rigoll, Gerhard
• 通讯作者: Rigoll, Gerhard

Combined segmentation, reconstruction, and tracking of multiple targets in multi-view video sequences

• DOI: 10.1016/j.cviu.2016.08.006
• 发表时间: 2017
• 期刊: Comput. Vis. Image Underst.
• 作者: M. Babaee;Yue You;G. Rigoll

Pixel Level Tracking of Multiple Targets in Crowded Environments

• DOI: 10.1007/978-3-319-48881-3_49
• 发表时间: 2016-10
• 作者: M. Babaee;Yue You;G. Rigoll