Design of Robust Infrared Image Sequence (IR-Video) Target Tracking Model
Vivek Chamoli
Vivek Chamoli*, Department of Electronics and Communication Engineering, Graphic Era Deemed to be University, Dehradun, India.
Manuscript received on January 24, 2020. | Revised Manuscript received on January 26, 2020. | Manuscript published on January 30, 2020. | PP: 5372-5375 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6791018520/2020©BEIESP | DOI: 10.35940/ijrte.E6791.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Infrared Image Sequence, Infrared Cameras, MAD (Mean Absolute Difference) Algorithm, Object Detection, SSD (Sum Square Difference), (Sum Absolute Difference), Tracking, Tracking Algorithm.
Scope of the Article: Web Algorithms.