To track the movement of individuals entering a building and count them according to their direction.
Institute for Geoinformatics (IFGI)
- Raspberry Pi 4 Model B 4GB RAM
- Raspberry Pi Power Supply
- Raspberry Pi Camera 2 Model
- Raspberry Pi Case
- SD Card Reader
- 32GB, SanDisk Extreme
- HDMI Adapter
Described in source_codes&models folder
Museums, Hospitals, Service Centers, Health Clinics, Government Offices, and other buildings.
- dlib C++ Library. Retrieved 3 February 2021, from http://dlib.net/
- Home - OpenCV. Retrieved 3 February 2021, from https://opencv.org/
- Jia, Y. (n.d.). Caffe: Convolutional architecture for fast feature embedding. https://doi.org/10.1145/2647868.2654889
- Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C., & Berg, A. (2016). SSD: Single Shot MultiBox Detector. ECCV.
- Rosebrock, A. (2017). Object detection with deep learning and OpenCV - PyImageSearch. Retrieved 18 December 2020, from https://www.pyimagesearch.com/2017/09/11/object-detection-with-deep-learning-and-opencv/
- Rosebrock, A. (2018). OpenCV People Counter - PyImageSearch. Retrieved 18 December 2020, from https://www.pyimagesearch.com/2018/08/13/opencv-people-counter/
- Rosebrock, A. (2018). Simple object tracking with OpenCV - PyImageSearch. Retrieved 18 December 2020, from https://www.pyimagesearch.com/2018/07/23/simple-object-tracking-with-opencv/