A methodology to event reconstruction from trace images

Milliet, Quentin; Delémont, Olivier; Sapin, Eric; Margot, Pierre

doi:10.1016/j.scijus.2015.02.001

Cited by 7 publications

(4 citation statements)

References 11 publications

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Section: Introductionmentioning

confidence: 99%

“…The ability to draw conclusions from photographic material directly relies on the quality and quantity of features which can be observed by the examiner in the photographic material. Therefore, any forensic photographic analysis must follow rigorous systematic procedures which reflect the limitations of the examination [5, 6]. The operational framework for photographic content analysis usually begins with analysis and processing of the data received, followed by evaluation of the findings to form a conclusion, and finally verification to confirm the validity of the process and conclusion [7–9].…”

Section: Introductionmentioning

confidence: 99%

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Form follows function: Applying photographic content analysis to forensic firearm identification

Chaikovsky,

Pasternak,

Finkelstein

et al. 2023

Journal of Forensic Sciences

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Drawing forensic conclusions from an image or a video is known as “photographic content analysis.” It involves the analysis of an image, as well as objects, actions, and events depicted in images or video. In recent years, photographic depictions of objects suspected as illegal firearms have substantially increased, appearing on CCTV surveillance footage, captured by mobile phones and shared on social media. However, the law in Israel states that a person can be charged with illegally possessing a firearm only if it can be proven that the object is capable of shooting with lethal bullet energy. This becomes more challenging in cases where the firearm was not physically seized, and the evidence exclusively consists of images and video. In this study, photographic content analysis was applied to images and video where objects suspected as commercial or improvised firearms had been depicted. An image and event sequence reconstruction video databases of both firearms and replicas were created in order to better define firearm‐specific functional morphological features. We demonstrate that it is possible to classify an object as a firearm by analyzing the functional, and not only the esthetic, morphology in images and video. It is also shown that event sequence reconstruction in video may be used to infer that an object suspected as a firearm has the capacity to shoot by confirming the occurrence of a shooting act or shooting process. Thus, photographic content analysis may be used to forensically establish that an object depicted in an image or a video is a firearm by ruling out other known scenarios, and without physically seizing it.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Form follows function: Applying photographic content analysis to forensic firearm identification

Chaikovsky,

Pasternak,

Finkelstein

et al. 2023

Journal of Forensic Sciences

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“…SWGIT (24,25) and FSR (13) provided guidelines for forensic image and video comparison and image interpretation evidence. Milliet et al proposed a comprehensive methodology to reconstruct events from trace images (26,27), which is a systematic approach for image interpretation. Image interpretation is useful in forensic trace evidence and forensic odontology evidence.…”

mentioning

confidence: 99%

“…Milliet et al. proposed a comprehensive methodology to reconstruct events from trace images , which is a systematic approach for image interpretation. Image interpretation is useful in forensic trace evidence and forensic odontology evidence.…”

mentioning

confidence: 99%

Explosion Scene Forensic Image Interpretation

Sun

et al. 2019

Journal of Forensic Sciences

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Image interpretation is an important aspect in the field of forensic science; however, it is seldom reported how to use these techniques in explosion scene forensic investigations. On 12 August 2015, a series of explosions killed 165 people and injured hundreds more at a container storage station at the Port of Tianjin. In this study, we applied image interpretation methods to determine the seat of the explosion by analyzing low‐quality video clips of the event. The interpretation fits well with recently published standard operating procedures, including the hypothesis, evaluation, inference, and confirmation. Image processing was adopted to enhance the images while the explosion scene was reconstructed with the same images. Some important features were extracted and utilized to distinguish whether the flashes were caused by reflection or a real blast. We reveal the real explosion location, which guides the overall investigation. The results indicate that image interpretation is a powerful tool for forensic investigators to analyze low‐quality images in complicated explosions or fire accidents.

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