Open AccessDesign of Robust Infrared Image Sequence (IR-Video) Target Tracking Model
Author(s) -
Vivek Chamoli
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e6791.018520
Subject(s) - tracking (education) , computer vision , artificial intelligence , computer science , infrared , position (finance) , zigzag , track (disk drive) , object (grammar) , trajectory , trace (psycholinguistics) , video tracking , mathematics , psychology , business , optics , physics , pedagogy , linguistics , philosophy , geometry , finance , astronomy , operating system
As regards protection, monitoring a certain objective has become a primary goal and thus has helped to incorporate the video technology into the industry. However, owing to its zigzag trajectory or shifts of position, it is often difficult to trace the imprevisible existence of the goal. This article therefore proposed the use of infrared cameras as sensors to monitor the object. The infrared camera is effective when the object changes its direction, like its contemporaries. Therefore, a pattern mapping technique was used for infrarouge goal monitoring. Ultimately, there was a distinction among the traditional Mean Absolute Difference (MAD) algorithm and the evolved V-SQ -track model used here. The findings show that the method of V-SQ -track model performs stronger than the MAD algorithm. Even if the modern algorithm is unable to do so, the artifacts can be monitored