Occlusion Tolerant Object Recognition Methods for Video Surveillance and Tracking of Moving Civilian Vehicles

Thumbnail image of item number 1 in: 'Occlusion Tolerant Object Recognition Methods for Video Surveillance and Tracking of Moving Civilian Vehicles'.
Thumbnail image of item number 2 in: 'Occlusion Tolerant Object Recognition Methods for Video Surveillance and Tracking of Moving Civilian Vehicles'.
Thumbnail image of item number 3 in: 'Occlusion Tolerant Object Recognition Methods for Video Surveillance and Tracking of Moving Civilian Vehicles'.
Thumbnail image of item number 4 in: 'Occlusion Tolerant Object Recognition Methods for Video Surveillance and Tracking of Moving Civilian Vehicles'.
Showing 1-4 of 59 pages in this thesis.

PDF Version Also Available for Download.

Description

Recently, there is a great interest in moving object tracking in the fields of security and surveillance. Object recognition under partial occlusion is the core of any object tracking system. This thesis presents an automatic and real-time color object-recognition system which is not only robust but also occlusion tolerant. The intended use of the system is to recognize and track external vehicles entered inside a secured area like a school campus or any army base. Statistical morphological skeleton is used to represent the visible shape of the vehicle. Simple curve matching and different feature based matching techniques are used to … continued below

Creation Information

Pati, Nishikanta December 2007.

Context

This thesis is part of the collection entitled: UNT Theses and Dissertations and was provided by the UNT Libraries to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 1120 times. More information about this thesis can be viewed below.

Who

People and organizations associated with either the creation of this thesis or its content.

Author

Chairs

Committee Members

Publisher

Rights Holder

For guidance see Citations, Rights, Re-Use.

  • Pati, Nishikanta

Provided By

UNT Libraries

The UNT Libraries serve the university and community by providing access to physical and online collections, fostering information literacy, supporting academic research, and much, much more.

About | Browse this Partner

Contact Us

Corrections Questions

What

Descriptive information to help identify this thesis. Follow the links below to find similar items on the Digital Library.

Description

Recently, there is a great interest in moving object tracking in the fields of security and surveillance. Object recognition under partial occlusion is the core of any object tracking system. This thesis presents an automatic and real-time color object-recognition system which is not only robust but also occlusion tolerant. The intended use of the system is to recognize and track external vehicles entered inside a secured area like a school campus or any army base. Statistical morphological skeleton is used to represent the visible shape of the vehicle. Simple curve matching and different feature based matching techniques are used to recognize the segmented vehicle. Features of the vehicle are extracted upon entering the secured area. The vehicle is recognized from either a digital video frame or a static digital image when needed. The recognition engine will help the design of a high performance tracking system meant for remote video surveillance.

Language

Item Type

Identifier

Unique identifying numbers for this thesis in the Digital Library or other systems.

Collections

This thesis is part of the following collection of related materials.

UNT Theses and Dissertations

Theses and dissertations represent a wealth of scholarly and artistic content created by masters and doctoral students in the degree-seeking process. Some ETDs in this collection are restricted to use by the UNT community.

About | Browse this Collection

What responsibilities do I have when using this thesis?

Digital Files

When

Dates and time periods associated with this thesis.

Creation Date

  • December 2007

Added to The UNT Digital Library

  • May 2, 2008, 3:17 p.m.

Description Last Updated

  • April 13, 2020, 2:13 p.m.

Usage Statistics

When was this thesis last used?

Yesterday: 0
Past 30 days: 0
Total Uses: 1,120
More Statistics

Interact With This Thesis

Here are some suggestions for what to do next.

Start Reading

Thumbnail image of item number 1 in: 'Occlusion Tolerant Object Recognition Methods for Video Surveillance and Tracking of Moving Civilian Vehicles'.
Thumbnail image of item number 2 in: 'Occlusion Tolerant Object Recognition Methods for Video Surveillance and Tracking of Moving Civilian Vehicles'.
Thumbnail image of item number 3 in: 'Occlusion Tolerant Object Recognition Methods for Video Surveillance and Tracking of Moving Civilian Vehicles'.
Thumbnail image of item number 4 in: 'Occlusion Tolerant Object Recognition Methods for Video Surveillance and Tracking of Moving Civilian Vehicles'.

PDF Version Also Available for Download.

Citations, Rights, Re-Use

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Links for Robots

Helpful links in machine-readable formats.

Archival Resource Key (ARK)

International Image Interoperability Framework (IIIF)

Metadata Formats

Images

URLs

Stats

Pati, Nishikanta. Occlusion Tolerant Object Recognition Methods for Video Surveillance and Tracking of Moving Civilian Vehicles, thesis, December 2007; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc5133/: accessed April 23, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .

Back to Top of Screen