A system for interactive surveillance video retrieval
An interactive Surveillance Video Retrieval System is a software system that manages retrieval of surveillance videos from a structured database. The system can be extended and applied widely in many areas such as Crime Investigation, Immigration Checkpoints, Subways and Traffic Control. The reco...
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Format: | Theses and Dissertations |
Language: | English |
Published: |
2015
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Subjects: | |
Online Access: | http://hdl.handle.net/10356/64809 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | An interactive Surveillance Video Retrieval System is a software system that manages retrieval of
surveillance videos from a structured database. The system can be extended and applied widely in
many areas such as Crime Investigation, Immigration Checkpoints, Subways and Traffic Control.
The recorded videos from surveillance cameras are first processed through various image
processing techniques. The process aims to understand the content in a scene and to extract useful
information for further processing. Some common content of our interest is the individual object
that is in the scene and other information associated with it such as the size, color and movement.
The information are stored in a database and the file system for future retrieval. The retrieval
software provides various ways to obtain the list of desired videos. In short, it gives a search
functionality through filters. This dissertation reports the work done to design and develop such a
system with functionalities similar to what just been described. In this system, the targeted sets of
surveillance videos are provided, which can be the video recorded from any surveillance cameras
in real life. A backend processing program detects moving object and records the movement and
other information of each moving object. The information captured is stored in a database and
retrieved through a combination of filters from the retrieval software system. The replay of the
video is organized in a few categories where user is able to access the desired part of the video
conveniently.
In the testing of the surveillance video retrieval system, it is found that the video processing
methods affects the desired performance of the system. In this dissertation, a study was conducted
to understand how the different video processing methods worked in videos with different scenes
and different sizes of surveillance targets. The dissertation includes an introduction of the
principles of the selected video processing methods and comments on the performance of the
methods for the different types of videos. |
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