REVIEW AND EVALUATION OF WELL-KNOWN METHODS FOR MOVING OBJECT DETECTION AND TRACKING IN VIDEOS
Moving object detection and tracking (D&T) are important initial steps in object recognition, context analysis and indexing processes for visual surveillance systems. It is a big challenge for researchers to make a decision on which D&T algorithm is more suitable for which situation and/or e...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Turkish Air Force Academy
2010-07-01
|
| Series: | Havacılık ve Uzay Teknolojileri Dergisi |
| Subjects: | |
| Online Access: | http://www.jast.hho.edu.tr/JAST/index.php/JAST/article/view/214/203 |
| Summary: | Moving object detection and tracking (D&T) are important initial steps in object recognition, context analysis and indexing processes for visual surveillance systems. It is a big challenge for researchers to make a decision on which D&T algorithm is more suitable for which situation and/or environment and to determine how accurately object D&T (real-time or non-real-time) is made. There is a variety of object D&T algorithms (i.e. methods) and publications on their performance comparison and evaluation via performance metrics. This paper provides a systematic review of these algorithms and performance measures and assesses their effectiveness via metrics. |
|---|---|
| ISSN: | 1304-0448 1304-0448 |