基于监控摄像机网络的行人比对系统设计和实现 Person Re-Identification System Design and Implementation Based on Camera Network

本文主要从面向公安图像监控的行人重识别的应用需求出发,首先分析面向视频监控应用的行人重识别软件系统的价值,然后归纳总结当前国内外在行人重识别领域的研究框架和思路,分析选择了生物特征与行人外观特征相结合的方法,并对该行人重识别算法进行软件系统的设计开发。算法经过实际监控场景的数据测试评估,准确性和运行效率达到较好的效果。 According to the demands on city public security video surveillance for person re-identification, we first analyze the value of a person re-identification software system for video surveillance system and then analyze the advanced research development in person re-identification. Furthermore, we design a software system by combining appearance and biological feature for person re-identification. Finally we conduct the online test of the software system and obtain the good performance.

[1]  Qi Tian,et al.  MARS: A Video Benchmark for Large-Scale Person Re-Identification , 2016, ECCV.

[2]  Hua Yang,et al.  Resolution adaptive feature extracting and fusing framework for person re-identification , 2016, Neurocomputing.

[3]  Horst Bischof,et al.  Large scale metric learning from equivalence constraints , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[4]  Ying Zhang,et al.  Gabor-LBP Based Region Covariance Descriptor for Person Re-identification , 2011, 2011 Sixth International Conference on Image and Graphics.

[5]  Larry S. Davis,et al.  Learning Discriminative Appearance-Based Models Using Partial Least Squares , 2009, 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing.

[6]  Ehud Rivlin,et al.  Color Invariants for Person Reidentification , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Mubarak Shah,et al.  Human identity recognition in aerial images , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[8]  Xiaogang Wang,et al.  Person Re-identification by Salience Matching , 2013, 2013 IEEE International Conference on Computer Vision.

[9]  Shaogang Gong,et al.  Person re-identification by probabilistic relative distance comparison , 2011, CVPR 2011.

[10]  Shaogang Gong,et al.  Person Re-Identification by Support Vector Ranking , 2010, BMVC.

[11]  Hai Tao,et al.  Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features , 2008, ECCV.

[12]  Shengcai Liao,et al.  Embedding Deep Metric for Person Re-identification: A Study Against Large Variations , 2016, ECCV.

[13]  Michael Jones,et al.  An improved deep learning architecture for person re-identification , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[14]  Vittorio Murino,et al.  Symmetry-driven accumulation of local features for human characterization and re-identification , 2013, Comput. Vis. Image Underst..