摘要
本文介绍了在视频人像综合性检验理念、观点指导下,对一起"零口供"盗窃案人像的鉴定。首先,简单介绍了视频人像综合性检验的基本观点,阐释了基于形态学的方法是视频人像检验的主要方法,给出了视频人像检验的基本步骤与流程;然后,介绍了本案检验的过程,包括检验条件的评估与检验方案的制定、侦查实验补充样本、人像特征的分别检验、比对检验与综合评判。最后,就人像特征鉴定价值的认识、鉴定样本的制作以及人像鉴定风险应对问题进行了探讨。实践表明,只有深刻认识了视频人像鉴定相关基本概念--人体外貌、人像、人像特征,并充分重视视频人像检验鉴定的特点,才能发挥视频人像同一认定在案件取证中的重要作用。
There are many theoretical and practical difficulties in examining and identifying human video image. From investigation into a "zero confession" case where the larcener was caught of his video images on the crime scene, the human video image was introduced into its comprehensive examination and identification about the relevant concepts and basic points, with its main methods being elucidated from morphological analysis. Through unwrapping of the common procedure and course regarding the examination of human video image, the video materials of the here-investigated case were specifically tested into the items of feasibility assessment and planning for examination, field experimentation for collecting specimen, image analysis and pre-processing for extracting feature, image comparison for observing facial similarities or differences, and results evaluation for drawing a conclusion. Finally, discussions were made on the significance about facial features, the principle about collecting specimen and the countermeasures against risks. According to the investigated case and the previous experience, a conclusion can be drawn that human video image identification will play its more extensive pivotal role in juridical practice if only the deep understandings impenetrate into the basic concepts, e.g., human appearance, human image and human features, along with the special points of human image examination being fully thought highly of.
作者
张大治
郭勇
ZHANG Dazhi;GUO Yong(Sichuan Police College,Luzhou 646000,Sichuan,China)
出处
《刑事技术》
2020年第1期88-92,共5页
Forensic Science and Technology
基金
四川省科技厅项目（18ZDYF3460、19ZDYF0932）
四川省教育厅项目(17CZ0022）
泸州市科技局项目（2018-GYF-9、2018-ZRK-51）
关键词
视频侦查
视频人像
人像检验
人像同一认定
surveillance video investigation
human video image
human image examination
human image identification
