| Title |
Development of an Algorithm for Detecting Pedestrians and Vehicles in Nighttime CCTV Footage of an Apartment Complex's Outdoor Space |
| Authors |
오경철(Oh, Kyoungcheol) ; 김창민(Kim, Changmin) |
| DOI |
https://doi.org/10.5659/JAIK.2025.41.11.237 |
| Keywords |
Nighttime surveillance video; CCTV; Moving object detection; Image processing |
| Abstract |
Unnecessary lighting in apartment complex outdoor spaces leads to energy waste and light pollution, causing dissatisfaction among residents.
By using CCTV to detect moving pedestrians and vehicles, lighting can be activated only when necessary, improving energy efficiency
without replacing existing systems or infrastructures. This study suggests a method for detecting moving pedestrians and vehicles using
nighttime CCTV from apartment complex outdoor spaces. The proposed method mixes frame differencing with an improved background
subtraction algorithm, setting its sensitivity based on lighting conditions. Issues such as low lighting, shadows, and noise, which are common
at night, are overcome by this. Also, Video preprocessing techniques such as resolution compression, contrast enhancement, and noise filtering
are applied to improve detection performance. This algorithm is validated using real CCTV collected from two residential complexes in
Korea. The proposed method yields up to a 26% improvement in precision compared to existing methods. This research shows the detection
performance while protecting personal privacy by avoiding data-intensive training processes. The results mean that this approach enables
energy savings in residential outdoor lighting systems. |