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CCTV systems capture digital video that can contain important information for investigators. One of these pieces of information is suspect height. Using photogrammetry, suspect height can be determined using multiple methods. These methods have been researched and validated individually, but they have not been comprehensively compared. This thesis presents four known photogrammetry methodologies and their accuracy at determining unknown heights of persons from CCTV footage. Participants were instructed to walk over three pre-determined locations in the field of view of a CCTV camera. Footage of the participants was then collected on a CCTV system and participant height was determined using the following methods. The first methodology used objects of known height that were on the same planar field as the participant in the footage. This method is referred to as the single-plane measurement. The second methodology is referred to as reverse projection. This method placed an object of known height at the same location as the participants. This object was then captured on footage using the same camera that captured the participants. The third methodology is referred to as camera-matching. This method used 3d scanning to capture the same area that was in the participant footage. This scanning created a 3d model of the environment, which then allowed for a digital camera to be inserted into the same location as the participant camera within the 3d scene. Using this digital camera, locations and distances were derived. The last methodology is referred to as two-plane measurement. This method utilized multiple planes in the footage and allowed for objects of known height that were not next to the participants to be used for analysis. The results showed that the reverse-projection method and the camera-matching method were to most accurate at estimating participant height. The single-plane method and two-plane methods were less accurate, and there were additional factors involved in those methodologies that effected results and will require further research.
Advisor: | Grigoras, Catalin |
Commitee: | Smith, Jeff, Whitecotton, Cole |
School: | University of Colorado at Denver |
Department: | Recording Arts |
School Location: | United States -- Colorado |
Source: | MAI 81/11(E), Masters Abstracts International |
Source Type: | DISSERTATION |
Subjects: | Information science, Information Technology, Law enforcement |
Keywords: | 3D scanning, CCTV, Footage, Height, Lens distortion, Photogrammetry |
Publication Number: | 27957879 |
ISBN: | 9798645459505 |