Fast and Economical Object Tracking using Raspberry Pi 3.0
Purnima Prakas, T. J. Nagalakshmi · International Journal of Engineering and Advanced Technology · 2019
This paper proposes a way to construct a financially cheap and fast object tracking using Raspberry Pi3. Multiple object detection is an important step in any computer vision application. Since the number of cameras included is more these gadgets are compelled by expense per hub, control utilization and handling power. We propose a tracking system with low power consumption. The framework is completely designed with python and OpenCV. The tracking quality and accuracy is measured using publicly available datasets.