# Occupancy Estimation from Thermal Images

arXiv: https://arxiv.org/abs/2110.07796 · HTML: https://mlsanity.com/paper/2110.07796/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 5 references that are in the map.
- First posted on arXiv 15 Oct 2021.

## Built on by (most cited first, 1 of 1)

- [Positional Encoding-based Resident Identification in Multi-resident Smart Homes](https://mlsanity.com/paper/2310.17836/) (2023)

## Abstract (arXiv)

We propose a non-intrusive, and privacy-preserving occupancy estimation system for smart environments. The proposed scheme uses thermal images to detect the number of people in a given area. The occupancy estimation model is designed using the concepts of intensity-based and motion-based human segmentation. The notion of difference catcher, connected component labeling, noise filter, and memory propagation are utilized to estimate the occupancy number. We use a real dataset to demonstrate the effectiveness of the proposed system.