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https://www.um.edu.mt/library/oar/handle/123456789/93736
Title: | Investigating movement detection in unedited camera footage |
Authors: | Sciberras, Samuel Vella, Joseph G. |
Keywords: | Image processing -- Digital techniques Digital forensic science Closed-circuit television Computer vision |
Issue Date: | 2020 |
Publisher: | Springer |
Citation: | Sciberras, S., & Vella, J. G. (2020). Investigating movement detection in unedited camera footage. 4th International Conference, ICACDS 2020, Malta. 362-371. |
Abstract: | Digital evidence from CCTVs is an aid in crime scene investigations and there is a demand for more automation. This paper describes a system that detects motion induced events within a video clip based on user-defined criteria, such as filtering by colour and size of the moving object and then extracts features and regions where events have been detected. Post processing includes finding association rules between objects that appear simultaneously in a clip based on their colour. All processing techniques follow best practices. The available Wallflower dataset is used for evaluation, and confusion matrices are computed by comparing the results achieved by this system against the ground truth values for each image sequence. Ranges of effective pre-processing parameter values were set for erosion, dilation and background subtractor threshold and the system was tested across a wide array of parameter values. For each combination, measures are extracted and the F1 Score is calculated. The lowest and highest F1 Score obtained across all image sequences were of 67% and 95% respectively. It is noted that the image quality of clips and background affect the F1 scores. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/93736 |
Appears in Collections: | Scholarly Works - FacICTCIS |
Files in This Item:
File | Description | Size | Format | |
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Investigating_movement_detection_in_unedited_camera_footage(2020).pdf Restricted Access | 301.68 kB | Adobe PDF | View/Open Request a copy |
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