Feature Extraction Algorithm for Real Time Object Tracking | ||
| International Conference on Aerospace Sciences and Aviation Technology | ||
| Article 30, Volume 14, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011, May 2011, Pages 1-14 PDF (680.6 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/asat.2011.23252 | ||
| Authors | ||
| A. M. Sallam; O. M. Elmowafy; R. A. Elbordany; A. M. Fahmy | ||
| Egyptian Armed Forces, Egypt. | ||
| Abstract | ||
| Video tracking system raises a wide possibility in today’s society. These systems are be used in various applications such as military, security, monitoring, robotic, and nowadays in day-to-day applications. However the video tracking systems still have many open problems and various research activities in the video tracking system are explored. This paper presents a real time algorithm for video tracking of any moving target with the use of line profile moments within a window filter. The proposed system is suitable for indoor and outdoor applications. Our approach has the advantage of extending the applicability of tracking system and also, as presented here improves the performance of the tracker making feasible high frame rate video tracking. The goal of the tracking system is to analyze the video frames and estimate the position of a part of the input video frame (usually a moving object), our approach can detect and track any moving object and calculate its position. Therefore, the aim of this paper is to construct a motion tracking system for the moving object. Where, at the end of this paper, the detail outcome and results are discussed using experimental results of the proposed technique. | ||
| Keywords | ||
| Signaling; SS7; QOS; performance evaluation; network monitoring; network management; GSM; 3G; UMTS; security; eavesdropping | ||
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