Publication Type:

Journal Article

Source:

International Journal of Emerging Trends in Engineering Research, Volume 7, Issue 5, p.21-24 (2019)

URL:

https://www.academia.edu/39502981/Wild_animal_Detection_and_Recognition_from_Aerial_Videos_using_Computer_Vision_Technique

Keywords:

detection, Hungerian, Kalman-Filter, Tracking

Abstract:

<p>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 .</p>

Cite this Research Publication

M. K. and ., P. 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.