时空轨迹信息在视频侦查办案中的应用
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Spatio-temporal Track Information Applying into Video Investigation
  • 作者:翟金良 ; 杨洪臣 ; 蔡能斌 ; 王华朋 ; 党京
  • 英文作者:ZHAI Jinliang;YANG Hongchen;CAI Nengbin;WANG Huapeng;DANG Jing;Criminal Investigation Police University of China;Shanghai Key laboratory of Crime Scene Evidence;
  • 关键词:时空轨迹 ; 时空证据 ; 数据碰撞 ; 视频侦查
  • 英文关键词:spatio-temporal track;;space-time evidence;;data collision;;video surveillance
  • 中文刊名:XSJS
  • 英文刊名:Forensic Science and Technology
  • 机构:中国刑事警察学院;上海市现场物证重点实验室;
  • 出版日期:2018-10-15
  • 出版单位:刑事技术
  • 年:2018
  • 期:v.43
  • 基金:上海市现场物证重点实验室开放课题(No.2017XCWZK14)
  • 语种:中文;
  • 页:XSJS201805001
  • 页数:6
  • CN:05
  • ISSN:11-1347/D
  • 分类号:5-10
摘要
利用视频监控能够获取犯罪嫌疑人的行为信息。本文从时空轨迹、数据碰撞以及视频侦查的概念入手,以实际案例为切入点,绘制出简单的时空轨迹分析图,分析了时空轨迹信息在案件中的线索作用和证据作用,分析了时空轨迹信息在视听资料方面的价值属性,总结出利用时空轨迹信息开展视频侦查工作的步骤与方法;阐述了时空轨迹信息的证据内容与证明力,以及利用时空轨迹信息分析何人、何时、何地、因果关系等方面的证据内涵。本文介绍了如何利用视频监控获取犯罪嫌疑人活动的时空轨迹信息,希望能够为公安实战应用提供一定的理论支持。同时,时空轨迹信息对于完善证据的理论体系以及打击犯罪维护社会和谐与稳定都具有重要的现实意义。
        Video surveillance can obtain suspect's both behavior and moving-about information. In this paper, from the concepts of spatio-temporal track, data collision and video detection, an actual case was taken as the example, having drawn a simple spatio-temporal track map, analyzing the clues and evidence from the space-time track information in video for detection. Also, the value and attributes of the track information were discussed into the relevant audio-visual materials, leading to a summarization of the steps and methods to carry out the spatio-temporal information tracking throughout the video detection so that the evidential content and power of the spatio-temporal track information were demonstrated together with the utilization of verifiable connotation about who, when, where, what and other influential aspects. Thus, the use of video surveillance was herewith unfolded to obtain the spatio-temporal track the criminal suspect acted, capable of providing supportive reference for the actual tasks of public security. To some extent, the spatio-temporal track information is of practical importance for the theoretical framework to perfect the evidence, fighting against crimes and maintaining social harmony and stability.
引文
[1]LI X, HAN J, KIM S, et al. Roam:Rule-and motif-based anomaly detection in massive moving object data sets[C]//Proceedings of the Seventh SIAM International Conference on Data Mining. Philadelphia:SIAM, 2007.
    [2]陈光中,刑事诉讼法学[M].北京:北京大学出版社,2016:219-220.
    [3]江必新,胡云腾.《最高人民法院关于适用<中华人民共和国刑事诉讼法>的解释》理解与适用[M].北京:中国法制出版社,2013:85-86.
    [4]龚玺,裴韬,孙嘉,等.时空轨迹聚类方法研究进展[J].地理科学进展,2011(5):522-534.
    [5]蒋泽刚.数据碰撞在高校学籍管理中的应用探讨[J].贵州广播电视大学学报,2016(6):13.
    [6]王艳,潘晨光.基于HDFS和IMPALA的碰撞比对分析[J].电视技术,2015, 39(14):94-98.
    [7]杨洪臣,李苑.视频侦查技术[M].北京:中国人民公安大学出版社,2016.
    [8]吉根林,赵斌.时空轨迹大数据模式挖掘研究进展[J].数据采集与处理,2015(1):47-58.
    [9]陈闻高.论视频侦查技术[J].铁道警察学院学报,2014(2):30-35.
    [10]WELLBORN O G. Cases and materials on the rules of evidence[M]. Thomson West, 2009.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700