The Reconstruction of the Dynamic of a Murder Using 3D Motion Capture and 3D Model Buildings: The Investigation of a Dubious Forensic Case

Aquila, Isabella; Sacco, Matteo Antonio; Aquila, Giuseppe; Raffaele, Roberto; Manca, Alfredo; Capoccia, Giuseppe; Cordasco, Fabrizio; Ricci, Pietrantonio

doi:10.1111/1556-4029.14041

Cited by 12 publications

(7 citation statements)

References 16 publications

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“…According to the time sequence of the point cloud image, the point cloud is divided into active and inactive parts. e points reconstructed earlier are inactive points, but these points belong to more accurate points after optimization [19,20]. e newly reconstructed points are active points and also belong to the points to be optimized.…”

Section: Reconstruction Of Multimodal 3d Motion Model Of Dynamic Huma...mentioning

confidence: 99%

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Gesture Tracking and Recognition Algorithm for Dynamic Human Motion Using Multimodal Deep Learning

Xia

Xing

2022

Security and Communication Networks

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To address the problems of the traditional human motion gesture tracking and recognition methods, such as poor tracking effect, low recognition accuracy, high frame loss rate, and long-time cost, a dynamic human motion gesture tracking and recognition algorithm using multimode deep learning was proposed. Firstly, the collected human motion images are repaired in the three-dimensional (3D) environment, and the multimodal 3D human motion model is reconstructed using the processed images. Secondly, according to the results of model reconstruction, the camera gesture and other parameters of the keyframe are used to construct the target tracking optimization function so as to achieve the purpose of accurate tracking of human motion. Finally, for multimodal human motion gesture learning, a convolutional neural network (CNN) is developed. The trained CNN is utilized to complete dynamic human motion recognition after convolutional and pooling calculations. The results demonstrate that the proposed algorithm is effective in tracking human motion gestures. The average recognition accuracy is 96%, the average frame loss rate is 8.8%, the time cost is low, and the proposed algorithm has a high F-measure and much lower power consumption than other algorithms, indicating that the proposed algorithm is effective.

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Section: Reconstruction Of Multimodal 3d Motion Model Of Dynamic Huma...mentioning

confidence: 99%

“…In the actual convolution neural network, the above parameters are calculated, and the full connection layer is trained. Setting appropriate ratio parameters can reduce the coadaptation of neurons in the convolution neural network and ensure the training effect while preventing overfitting [19,20].…”

Section: Algorithm Of Dynamic Human Motion Recognitionmentioning

confidence: 99%

Gesture Tracking and Recognition Algorithm for Dynamic Human Motion Using Multimodal Deep Learning

Xia

Xing

2022

Security and Communication Networks

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“…It was initially denied in lieu of the multiplicity of injuries, and bloodstain pattern suggestive of the perpetration by more than one assailant. 6…”

Section: Discussionmentioning

confidence: 99%

“…It was initially denied in lieu of the multiplicity of injuries, and bloodstain pattern suggestive of the perpetration by more than one assailant. 6 Another CSR done with seven laser scans, 23 structured light scans, high-resolution photography, 3-D modelling of blood spatter trajectories and Meshlab technique (for simulation of injuries), along with the application of virtual reality software, helped to solve the murder case of a 30-year-old woman in her apartment. 7 The role of 3-D modelling in solving violent crimes committed indoors was highlighted in a case of a murdered male whose dead body lay in a small room with objects scattered all around.…”

Section: Discussionmentioning

confidence: 99%

Mapping homicide by 3-D modelling of bloodstain patterns at crime scene

et al. 2023

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Background Three-dimensional (3-D) modelling can be a useful technical aid and we used it to reconstruct a homicide scene to corroborate the statement of an eyewitness. 3-D modelling of the bloodstain was conducted by Micro Smith Poser 11 and Autodesk 3-Ds Max software. The technique was found to be easily understandable by the police and judiciary in the interpretation of the sequence of the events of the crime. It refuted the eye-witness's account of the actions of the accused who was charged with murder and allowed collection, storage and retrieval of the patho-anatomic information about the deceased. Conclusion The checks on the accuracy of statements given by eye-witnesses that can be provided by 3-D modelling may change the outcome of criminal investigations in future.

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“…Digital models of objects related to the crime, obtained through the use of 3D technology, are also used in court proceedings (Aquila et al, 2019), including those with the participation of juries. The following case vividly demonstrates the possibilities in question.…”

Section: Research Questionsmentioning

confidence: 99%

Application Of 3D Technology In Criminal Proceedings

Malykhina¹

2022

European Proceedings of Social and Behavioural Sciences

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Under current conditions, there is practical demand for the introduction of 3D technology into law enforcement activities, which can be used to solve a wide range of criminal proceedings. Based on positive examples of foreign experience in application of this technology in combating crime, there were practical opportunities of 3D technology in activities of the investigator, expert, in criminal proceedings including those with the participation of jurors. It was revealed that the application of 3D technology in the criminal proceedings in Russia is currently at the stage of formation. The reason is in a complex of problems of logistical, ethical-legal nature, as well as the lack of a proper methodological support. The creation of new and improvement of existing computer programs for creating a 3D model of objects related to the committed crime, depending on the specific tasks of criminal proceedings was proposed. The need for the settlement of legal issues of the possibility of using information and communication technologies in pre-trial and trial investigations was indicated. The organization of training of investigators, experts, prosecutors on the methodology of using 3D technologies was proposed in specific areas of their activities at the advanced training courses, etc.

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The Reconstruction of the Dynamic of a Murder Using 3D Motion Capture and 3D Model Buildings: The Investigation of a Dubious Forensic Case

Cited by 12 publications

References 16 publications

Gesture Tracking and Recognition Algorithm for Dynamic Human Motion Using Multimodal Deep Learning

Gesture Tracking and Recognition Algorithm for Dynamic Human Motion Using Multimodal Deep Learning

Mapping homicide by 3-D modelling of bloodstain patterns at crime scene

Application Of 3D Technology In Criminal Proceedings

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