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Publication Type : Journal Article
Publisher : International Journal of Emerging Trends in Engineering Research
Source : International Journal of Emerging Trends in Engineering Research, Volume 7, Issue 5, p.21-24 (2019)
Keywords : detection, Hungerian, Kalman-Filter, Tracking
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2019
Abstract : This paper points to address animal movement detection andtallying with assistance of airborne videos with the help ofglobal pixel from the wide motion recordings. From the aerialvideos, through the movement in the background motion andPIXEL VELOCITY DETECTION segmentation images willbe extracted. Through applying threshold, negative are beingeliminated. This paper mainly focuses on animal detectionfollowing on animal tracking. This Jobs taken after on byeither physically or by in spite of the fact that kept an eye onflying machine which are exceptionally moderate, requiresmanual control and time consuming too. Here we are mainlyfocusing with object spotting and tracking from aerialrecordings and images that can prove viable for wildlifeconservation .
Cite this Research Publication : M. K. and Dr. Padmavathi S., “Wild animal detection and recognition from aerial videos using computer vision technique”, International Journal of Emerging Trends in Engineering Research, vol. 7, no. 5, pp. 21-24, 2019.