IDENTIFYING AND DETECTING REAL-TIME OBJECTS USING DRONE CAMERA

Authors

  • HARSH SINGHAL Department of Computer., Sandip Institute of Engineering and Management, Nashik, India
  • POOJA DANGLE Department of Computer., Sandip Institute of Engineering and Management, Nashik, India
  • SHUBHANGI RAJPURE Department of Computer., Sandip Institute of Engineering and Management, Nashik, India

Keywords:

Video analysis,, Human detection,, drone,, background estimation,

Abstract

As per the need of the time, there is tremendous increase in the application of Unmanned Aerial Vehicle (UAV) which is publicly known as Drone. In this paper we present a system which detects and counts number of people in real time using drone camera. Also there is growing interest in video-based solutions for detecting, monitoring and counting in business and security applications. Compared to early used classic sensor-based solutions the video based ones allow more versatile functionalities ,improved performance with lower cost.In this paper, we present a real-time system for people counting based on single low-end non-calibrated video camera. The main challenge of aerial image analysis includes: 1] the size of an object/human in aerial image can be very small, 2] the object in aerial images are tilted outward due to perspective projection deformation, which makes the humans hard to recognize in aerial images, and 3] the error is likely to occur whenever multiple persons move closely, e.g. in shopping centres.

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Published

2021-03-10

Issue

Vol. 7 No. 4 (2020): IJIERT

Section

Articles

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