원문정보
초록
영어
In the field of surveillance cameras, it is possible to increase the people detection accuracy by using depth information indicating the distance between the camera and the object. In general, depth information is obtained by calculating the parallax information of the stereo camera. However, this method is difficult to operate in real time in the embedded environment due to the large amount of computation. Jetson TX2, released by NVIDIA in March 2017, is a high-performance embedded board with a GPU that enables parallel processing using the GPU. In this paper, a stereo camera is installed in Jetson TX2 to acquire depth information in real time, and we proposed a people counting method using acquired depth information. Experimental results show that the proposed method had a counting accuracy of 98.6% and operating in real time.
목차
1. Introduction
2. Proposed Method
2.1 Stereo camera configuration
2.2 Camera calibration
2.3 Stereo calibration and input of the counting line
2.4 Disparity extraction by stereo matching
2.5 Background removal
2.6 View projection
2.7 Object tracking and counting
3. Experimental Result
4. Conclusion
References