1. Digital Forensic Based Object Recognition for Enhanced Crime Scene Interpretation.
- Author
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Singh, Vikash Kumar, Sivashankar, Durga, Sriram, Siddharth, Nagpal, Manish, Patel, Warish, and Loonkar, Shweta
- Subjects
CRIME scenes ,DIGITAL forensics ,FEATURE extraction ,DIGITAL technology ,DATABASES - Abstract
This research introduces a novel and comprehensive framework for digital forensics-based crime scene interpretation. The proposed framework comprises five algorithms, each serving a distinct purpose in enhancing image quality, extracting features, matching, and constructing a database, recognizing, and reconstructing objects in 3D, and conducting context-aware analysis. An ablation study validates the necessity of each algorithmic step. The framework consistently outperforms existing methods in terms of accuracy, precision, recall, and processing time. A detailed comparative analysis of parameters further highlights its cost-effectiveness, moderate complexity, superior data integration, and scalability. Visualizations underscore its dominance across multiple metrics and parameters, positioning it as an advanced solution for digital forensic-based object recognition in crime scene interpretation [ABSTRACT FROM AUTHOR]
- Published
- 2024
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